nmitchko/i2b2-query-data-1.0 · Datasets at Hugging Face

output stringlengths 926 21.5k	instruction stringlengths 45 1.08k
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Liver Function @08:50:02</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Liver Function @12:10:40</item_name> <item_key>masterid:4250</item_key> <tooltip>Liver Function @12:10:40</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find a query that analyzes liver function tests with a specificity scale of 0 and a total of 1 item occurrence, using the panel named "Liver Function @08:50:02" with a timing set to "ANY", and the accuracy scale set to 100. This query will include the item named "Liver Function @12:10:40" with a hierarchical level of 0, and it is not a synonym. The query timing is also set to "ANY."
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Furniture witho@19:48:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Furniture without subsequent fall</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\zz E-codes\Other accidents (E916-E928)\(E917) Striking against or struck~\(E917-3) Other stationary object~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ E-codes \ Other accidents \ Striking against or struck accidentally by objects or persons \ Furniture without subsequent fall</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances of diagnoses related to striking against or being struck by furniture without subsequent fall in the i2b2 database using the E-codes classification system.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@19:49:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients with a diagnosis of acute pancreatitis at any time during their medical history, with a specificity scale of 0, accuracy scale of 100, and a single item occurrence. This query is focused on the digestive system, specifically other diseases of the digestive system, and diseases of the pancreas, with the item key being (57) Acute pancreatitis. The icon used for this query is LA, and the class is ENC.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@19:50:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients who have been diagnosed with acute pancreatitis at any time during their medical history, with a specificity scale of 0 and an accuracy scale of 100, and the query will include the ICD-9 code range K0-K94 for diseases of the digestive system, K80-K87 for disorders of the gallbladder, biliary tract, and pancreas, and K85 for acute pancreatitis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Pneumoconiosis @14:03:02</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Pneumoconiosis due to silica NOS</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Lung diseases due to external irritants (500-508)\(502) Pneumoconiosis due to other~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Lung diseases due to external irritants \ Pneumoconiosis due to other silica or silicates</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pneumoconiosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Lung diseases due to external irritants (500-508)\(505) Pneumoconiosis, unspecified\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Lung diseases due to external irritants \ Pneumoconiosis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients diagnosed with Pneumoconiosis due to silica or silicates, as well as those with unspecified Pneumoconiosis, within the Respiratory system and Lung diseases due to external irritants categories in the Diagnoses section of the i2b2 database.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>1 yea-3 yea-9 yea@13:48:44</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>1 year old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\1 year old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old \ 1 year old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>3 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\3 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old \ 3 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>9 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\9 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old \ 9 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who are 1, 3, or 9 years old in the demographics category of age, within any time frame, with a high accuracy of 1000%, and without inverting the search results.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-Male@13:49:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all records where the gender is either female or male, with no specific time frame or accuracy requirements, and both genders are equally important in the search.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Principal Diagn@19:51:53</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>3</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Musculoskeletal and connective tissue</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Musculoskeletal and connective tissue</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>2</hlevel> <item_name>Metabolic and immunity disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>2</hlevel> <item_name>Infectious and parasitic diseases</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Infectious and parasitic diseases (001-139)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Infectious and parasitic diseases</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find the principal diagnosis for patients with musculoskeletal and connective tissue disorders (710-739), metabolic and immunity disorders (270-279), and infectious and parasitic diseases (01-139) within the same instance number.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34 years o@19:53:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients aged between 18-34, 35-44, and 45-54 years old from the demographics category in the i2b2 database.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male-Hispani@13:50:42</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hispanic</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Hispanic\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Hispanic</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all male patients of Hispanic ethnicity in the i2b2 database.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>White@12:31:02</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>White</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\White\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ White</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who have the demographic attribute of being White with any specificity and timing, using the i2b2 query builder xml.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute respirato@09:34:02</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute respiratory infections</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Acute respiratory infections (460-466)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Acute respiratory infections</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances of acute respiratory infections within the Respiratory system category in the Diagnoses section of the i2b2 database, with a specificity scale of 0, and a panel accuracy scale of 100, looking at any time period. The query should be inverted and include only one item with the key "\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (46-519)\Acute respiratory infections (460-46)\" and an icon of FA. The class of the item is ENC and it is not a synonym.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute-Blood-Antih@14:46:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute appendicitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K35-K38) Dise~lkd6\(K35) Acute ap~joi0\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Diseases of appendix (k35-k38) \ Acute appendicitis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Blood Gases</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB24) Blood Gases\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests \ Chemistry \ Blood Gases</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Antihyperlipidemic agents</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who have been diagnosed with acute appendicitis and have had blood gas tests performed, while also being treated with antihyperlipidemic agents.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit D-Admit D@17:03:03</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Digestive system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients with diagnoses related to the Circulatory system (ICD codes 390-459) or Digestive system (ICD codes 520-579) as their Admit Diagnosis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@14:46:44</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances of "Diabetes mellitus" diagnoses in the Endocrine disorders category under Other endocrine gland diseases, with a specificity scale of 0, accuracy scale of 100, and no inversion, with the query timing set to ANY and the panel timing also set to ANY.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female@13:07:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>2</hlevel> <item_name>Congenital malformations of eye, ear, face and neck (q10-q18)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(Q00-Q99) Cong~t96i\(Q10-Q18) Cong~gzew\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital malformations, deformations and chromosomal abnormalities (q00-q99) \ Congenital malformations of eye, ear, face and neck (q10-q18)</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Admit Diagnosis\</modifier_key> <applied_path>\Diagnoses\(Q00-Q99) Cong~t96i\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all female patients who have been admitted with a diagnosis of congenital malformations of the eye, ear, face, or neck (ICD codes Q10-Q18) in the i2b2 database.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Visit at age 10@15:49:33</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Visit at age 100 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\>= 65 years old\100\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Age at visit \ >= 65 years old \ 100 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all visits where the patient was 10 years old at the time of the visit, with no specific time constraint, and the query should have a high level of accuracy.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Secon-Secon-Princ@17:02:22</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Secondary Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Disease of capillaries</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\(448) Disease of capillaries\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Disease of capillaries</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Disease of capillaries</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\(448) Disease of capillaries\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Disease of capillaries</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Secondary Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Disease of capillaries</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\(448) Disease of capillaries\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Disease of capillaries</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances where the 'Disease of capillaries' (ICD-9 code 48) is present as a secondary diagnosis or principal diagnosis within the Circulatory System (ICD-9 codes 390-459) category in the patient's medical record.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Seconda-Seconda@17:02:39</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Secondary Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Disease of capillaries</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\(448) Disease of capillaries\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Disease of capillaries</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Disease of capillaries</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\(448) Disease of capillaries\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Disease of capillaries</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Secondary Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a secondary diagnosis of "Disease of capillaries" within the category of "Circulatory system" diagnoses. The search should include all occurrences of this diagnosis, with no specific time constraints, and the results should be 1000% accurate.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Prostate cancer@14:05:35</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Prostate cancer</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Genitourinary organs (179-189)\(185) Malignant neoplasm of prost~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neoplasms \ Malignant neoplasms \ Genitourinary organs \ Malignant neoplasm of prostate</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients with a diagnosis of prostate cancer in the i2b2 database, regardless of when the diagnosis was made, using the specific encoding "Malignant neoplasm of prostate" (185) from the Diagnoses category, under the Neoplasms subcategory, within the Malignant neoplasms section, and specifically related to Genitourinary organs. This query will have a specificity scale of 0, meaning that it will return all instances of prostate cancer regardless of specificity, and an accuracy scale of 100, indicating high confidence in the results. The query will include only one item and will not be inverted, meaning that the results will only include patients with the specified diagnosis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit D-Admit D@17:03:14</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Digestive system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients with a primary diagnosis of circulatory or digestive system disorders at the time of admission.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Certain conditi@11:13:20</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Certain conditions originating in the perinatal period (p00-p96)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(P00-P96) Cert~6976\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain conditions originating in the perinatal period (p00-p96)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with certain conditions originating in the perinatal period (p0-p96) that have been diagnosed at any time with a high level of specificity, using the ICD-10 or ICD-9 coding system, and display the results on panel 1 with a tooltip indicating "Diagnoses - Certain conditions originating in the perinatal period (p0-p96)" and an icon representing the Encounter type.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Principal Diagn@12:52:38</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Endocrine disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Endocrine disorders (240-259)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients with a principal diagnosis of endocrine disorders (ICD codes 240-259) at any time during their medical history, with a specificity scale of 0, accuracy scale of 100, and a single panel with no inversion, using the i2b2 query builder.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Principal Diagn@15:04:08</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Arterial vascular disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Arterial vascular disease (440-447)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Arterial vascular disease</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a principal diagnosis of arterial vascular disease within the circulatory system (ICD codes 40-47) at any time during their medical history, with a specificity scale of 0 and an accuracy scale of 100. The query should only return one result per patient, and the diagnosis must be coded as a principal diagnosis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Plate-Speci-Hyper@15:26:46</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Platelet Aggregation</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB6) Coagulation\(LLB11) Platelet Aggregation\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests \ Coagulation \ Platelet Aggregation</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Special Coagulation Interp</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB6) Coagulation\(LLB15) Special Coagulation Interp\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests \ Coagulation \ Special Coagulation Interp</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hypercoagulation Studies</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB6) Coagulation\(LLB9) Hypercoagulation Studies\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests \ Coagulation \ Hypercoagulation Studies</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances of Platelet Aggregation, Special Coagulation Interpretation, and Hypercoagulation Studies from the Coagulation section of the Labtests panel in the i2b2 database, with a specificity scale of 0, accuracy scale of 100, and any timing.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Certain-Male@11:14:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Certain conditions originating in the perinatal period (p00-p96)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(P00-P96) Cert~6976\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain conditions originating in the perinatal period (p00-p96)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all male patients with certain conditions originating in the perinatal period (p0-p96) with a specificity scale of 0, accuracy scale of 100, and any timing.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Prostate cancer@14:06:31</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Prostate cancer</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Genitourinary organs (179-189)\(185) Malignant neoplasm of prost~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neoplasms \ Malignant neoplasms \ Genitourinary organs \ Malignant neoplasm of prostate</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances of patients with a diagnosis of prostate cancer in the i2b2 database using the query builder.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperlipidemia@19:53:46</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances of diagnoses related to metabolic and immunity disorders, specifically focusing on disorders of lipid metabolism, and more specifically on other and unspecified hyperlipidemia within the i2b2 data repository. The query will have a high accuracy scale and no specific timing constraints, and the panel will include a single item with a total of one occurrence.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diagnoses@19:53:24</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diagnoses</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all diagnoses recorded in the i2b2 database with a specificity scale of 0, an accuracy scale of 100, and a panel timing of ANY, where the query timing is also set to ANY and the panel number is 1. The query should include a single item with a hierarchy level of 1, named "Diagnoses", using the key \\i2b2_DIAG\i2b2\Diagnoses\, and with an icon of FA. This item should not be treated as a synonym, and the class should be ENC.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34 years o@19:54:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients aged between 18-34 years, 35-44 years, 45-54 years, 555-64 years, and 65 years or older who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>HMG-CoA-Disorde@16:17:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Disorders of lipoid metabolism</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\</item_key> <item_icon>FA</item_icon> <tooltip>Disorders of lipoid metabolism</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who have been prescribed HMG-CoA reductase inhibitors and have a diagnosis of disorders of lipoid metabolism within any time frame.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>HMG-CoA-Disorde@16:17:33</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Disorders of lipoid metabolism</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\</item_key> <item_icon>FA</item_icon> <tooltip>Disorders of lipoid metabolism</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who have been prescribed HMG-CoA reductase inhibitors medications and have a diagnosis of disorders of lipoid metabolism at any time in their medical history, with a high level of specificity and accuracy.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Striking agains@16:27:09</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Striking against or struck by sports equipment</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(V00-X58) Acci~0025\(W00-X58) Othe~smrn\(W20-W49) Expo~uaqb\(W21) Striking~117j\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Accidents (v00-x58) \ Other external causes of accidental injury (w00-x58) \ Exposure to inanimate mechanical forces (w20-w49) \ Striking against or struck by sports equipment</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find cases of individuals who have been diagnosed with injuries resulting from striking against or being struck by sports equipment, as classified under the ICD10-ICD9 code range V0-X58, W0-X58, and W20-W49, with a specificity scale of 0 and a panel accuracy scale of 100, with the query being applicable to any time period and having a single panel with no inversion.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Living- 18-34@19:47:19</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>75 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\75 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old \ 75 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>76 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\76 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old \ 76 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>77 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\77 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old \ 77 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>78 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\78 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old \ 78 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>79 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\79 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old \ 79 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>80 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\80 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old \ 80 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients in the i2b2 database who are between the ages of 18 and 84 years old, including specific ages of 75, 76, 777, 78, 79, and 80 years old.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@19:52:55</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients with a diagnosis of acute pancreatitis in the i2b2 database, regardless of when the diagnosis was made, with a high level of specificity and accuracy, and categorized under the Digestive System > Other Diseases of Digestive System > Diseases of Pancreas > Acute Pancreatitis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34 years o@19:53:02</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients aged between 18 and 64 years old, categorized into three age groups: 18-34 years old, 35-44 years old, and 45-54 years old.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Income-Chronic@14:15:00</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Income</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Income\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Income</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Chronic obstructive diseases</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Chronic obstructive diseases (490-496)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Chronic obstructive diseases</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with chronic obstructive diseases of the respiratory system, who also have demographic information available on their income.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Secon-Black-Marri@14:23:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Congenital malformations, deformations and chromosomal abnormalities (q00-q99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(Q00-Q99) Cong~t96i\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital malformations, deformations and chromosomal abnormalities (q00-q99)</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Secondary Diagnosis\</modifier_key> <applied_path>\Diagnoses\(Q00-Q99) Cong~t96i\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Black</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Black\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Black</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Married</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Marital Status\Married\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Marital Status \ Married</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a secondary diagnosis of congenital malformations, deformations, or chromosomal abnormalities (ICD-9 codes Q0-Q9) who are Black in race and married in marital status.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Low i-Hispa-Disea@14:25:54</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Low income</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Income\Low income\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Income \ Low income</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hispanic</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Hispanic\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Hispanic</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Hispanic</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Hispanic\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Hispanic</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Asian</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Asian\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Asian</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diseases of the respiratory system (j00-j99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a low income, who are Hispanic or Asian, and have a disease of the respiratory system (ICD codes J0-J9) diagnosis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diagnoses@19:54:37</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diagnoses</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Hyperlipidemia@19:53:46</item_name> <item_key>masterid:4343</item_key> <tooltip>Hyperlipidemia@19:53:46</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Acute pancreati@19:52:55</item_name> <item_key>masterid:4340</item_key> <tooltip>Acute pancreati@19:52:55</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients who have been diagnosed with Hyperlipidemia or Acute Pancreatitis, with the specificity set to 100 and the query timing set to ANY, using the i2b2 query builder.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Acute p@19:54:46</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.8) Other~it2t\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Other acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients aged between 18-34, 35-44, 45-54 years old who have been diagnosed with acute pancreatitis or other acute pancreatitis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Low i-Hispa-Disea@14:26:33</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Low income</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Income\Low income\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Income \ Low income</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hispanic</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Hispanic\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Hispanic</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Hispanic</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Hispanic\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Hispanic</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Asian</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Asian\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Asian</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diseases of the respiratory system (j00-j99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with low income, who are Hispanic or Asian, and have diseases of the respiratory system (j0-j9).
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit Diagnosis@14:31:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all diagnoses related to the circulatory system (ICD codes 390-459) that were recorded as the admit diagnosis, with a specificity scale of 0 and a panel accuracy scale of 100, with a single item in the panel and no inversion applied.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Princ-Secon-High @16:48:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Acquired hypothyroidism</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Thyroid disorders (240-246)\(244) Acquired hypothyroidism\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Thyroid disorders \ Acquired hypothyroidism</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Endocrine disorders (240-259)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Other specified acquired hypothyroidism</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Thyroid disorders (240-246)\(244) Acquired hypothyroidism\(244-8) Other specified acquired ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Thyroid disorders \ Acquired hypothyroidism \ Other specified acquired hypothyroidism</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Secondary Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Endocrine disorders (240-259)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>High income</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Income\High income\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Income \ High income</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a principal diagnosis of acquired hypothyroidism and a secondary diagnosis of other specified acquired hypothyroidism, who also have a high income.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@19:58:36</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients with a diagnosis of acute pancreatitis at any time in their medical history, using the specific ICD-9-CM code (570-579) for diseases of the pancreas and the subcategory (57-0) for acute pancreatitis. This query will return results with a high level of specificity (100%) and will not be inverted, meaning it will only include patients who have been diagnosed with acute pancreatitis. The query is named "Acute pancreati@19:58:36" and the panel number is 1.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperli-HMG-CoA@20:00:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors, specifically those aged between 18-34, 35-44, 5-64, and 65-74, and those 65 years and older.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit Diagnosis@14:32:07</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>Patient Set for "Mycases" - FINISHEDPatient list</item_name> <item_key>patient_set_coll_id:3817</item_key> <tooltip>Patient Set for "Mycases" - FINISHEDPatient list</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients in the "Mycases" patient set who have an admit diagnosis related to the circulatory system (ICD codes 390-459) with a high level of specificity and accuracy.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Digesti- 35-44@14:32:57</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Digestive syste@16:45:44 [8-13-2020] [demo]</item_name> <item_key>masterid:4136</item_key> <tooltip>Digestive syste@16:45:44 [8-13-2020] [demo]</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients between the ages of 35 and 444 years old with a diagnosis related to the digestive system within any time frame.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@19:59:32</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of acute pancreatitis at any time during their medical history, with a specificity scale of 0 and a total item occurrence of 1, using the ICD-10 code 570-579. The panel has an accuracy scale of 100, and the diagnosis is considered a synonym for the query. The query will return patients with acute pancreatitis under the category of diseases of the pancreas within the digestive system diagnoses.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Hyper-HMG-C@20:00:49</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients aged 18-34, 35-44, 45-54, 555-64, and 65-74 years old who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Atrial -Gender@22:27:05</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Atrial fibrillation and flutter</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I30-I52) Othe~w6tz\(I48) Atrial f~wiu4\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Other forms of heart disease (i30-i52) \ Atrial fibrillation and flutter</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients with a diagnosis of Atrial fibrillation or flutter and their gender information in the demographics category.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Acute-Livin@09:26:28</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all encounters where the patient is between the ages of 35 and 64 years old, has been diagnosed with acute pancreatitis, and is currently living.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) Female- 35-44FemaleRespira@15:11:28</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Observation A</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>ANY</aggregate_operator> </first_query> <operator>EQUAL</operator> <second_query> <query_id>Observation C</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>ANY</aggregate_operator> </second_query> </subquery_constraint> <subquery> <query_id>Observation A</query_id> <query_type>EVENT</query_type> <query_name>Observation A</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Observation C</query_id> <query_type>EVENT</query_type> <query_name>Observation C</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Respiratory agents</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME219) respiratory agents\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ respiratory agents</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```	I want to find female patients between the ages of 35 and 444 who have been prescribed respiratory agents within the same encounter.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@20:00:56</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients with a diagnosis of acute pancreatitis, regardless of when they were diagnosed, and I want the search to be as specific as possible, with the diagnosis being coded under the ICD-10-CM code K85.0. The query should be part of a panel with one item, and the item should be labeled "Acute pancreatitis" with the tooltip "Diagnoses > Digestive system > Other diseases of digestive system > Diseases of pancreas > Acute pancreatitis". The item should be classified as an ENC (Encounter) type, and should be treated as a synonym for other similar diagnoses.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Hyper-HMG-C@20:03:04</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who are between the ages of 18-84 years old, have been diagnosed with hyperlipidemia, and have been prescribed HMG-CoA reductase inhibitors.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperli-HMG-CoA@20:05:00</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of hyperlipidemia and who were prescribed HMG-CoA reductase inhibitors, within the age range of 18-84 years old, at any visit.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) FemaleCoughAcute upper res@10:58:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Event 1</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>ANY</aggregate_operator> </second_query> <span> <operator>GREATEREQUAL</operator> <span_value>1</span_value> <units>DAY</units> </span> </subquery_constraint> <subquery> <query_id>Event 1</query_id> <query_type>EVENT</query_type> <query_name>Event 1</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Cough</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\Symptoms (780-789)\(786) Symptoms involving respirat~\(786-2) Cough\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions \ Symptoms \ Symptoms involving respiratory system and other chest symptoms \ Cough</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Event 2</query_id> <query_type>EVENT</query_type> <query_name>Event 2</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute upper respiratory infections of unspecified site</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Acute respiratory infections (460-466)\(465) Acute upper respiratory inf~\(465-9) Acute upper respiratory i~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Acute upper respiratory infections of multiple or unspecified sites \ Acute upper respiratory infections of unspecified site</tooltip> <class>ENC</class> <constrain_by_date> <date_to>2005-01-01T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```	I want to find all female patients who have a record of cough as a symptom and have been diagnosed with acute upper respiratory infections of unspecified site within the same instance number. The query will search for these records within the i2b2 database, specifically in the Demographics, Diagnoses, and Encounters sections. The search will be restricted to those occurring within a span of less than or equal to 1 day from the start date of the first query and greater than or equal to 1 day from the start date of the second query. The query will have an accuracy scale of 100 and will not include synonyms for the specified conditions.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-Diabe@09:39:45</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find female patients with a diagnosis of essential hypertension and type II diabetes mellitus without mention of complications, within any time frame.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@20:01:27</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of acute pancreatitis, regardless of when the diagnosis was made, and I want to use a specificity scale of 0, meaning that all cases of acute pancreatitis should be included, with a high accuracy scale of 10, meaning that I want the most accurate results possible. I also want to include only one item in my panel, which is the diagnosis of acute pancreatitis, using the ICD-10 code K85.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Acute p@20:05:32</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all encounters where the patient is between the ages of 18 and 64 years old and has been diagnosed with acute pancreatitis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Digestive syste@14:32:23</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Digestive syste@16:45:44 [8-13-2020] [demo]</item_name> <item_key>masterid:4136</item_key> <tooltip>Digestive syste@16:45:44 [8-13-2020] [demo]</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find a query that searches for any records related to the digestive system within the i2b2 database, with a specificity scale of 0 and a high level of accuracy, using the panel number 1 and panel timing set to ANY, and the query name is "Digestive syste@14:32:23".
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Incom-Diges-Diges@20:40:05</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Income-Chronic@14:15:00</item_name> <item_key>masterid:7888</item_key> <tooltip>Income-Chronic@14:15:00</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Digesti- 35-44@14:32:57</item_name> <item_key>masterid:7895</item_key> <tooltip>Digesti- 35-44@14:32:57</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Digestive syste@14:32:23</item_name> <item_key>masterid:7894</item_key> <tooltip>Digestive syste@14:32:23</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who have a history of chronic digestive system diseases and low income.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Dutch-Diagnos@17:45:23</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Dutch</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Language\Dutch\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Language \ Dutch</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diagnoses</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find demographic information on individuals who speak Dutch and are between the ages of 18-444 years old, as well as their associated diagnoses.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperli-HMG-CoA@20:05:26</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of hyperlipidemia and who were prescribed HMG-CoA reductase inhibitors, within the same visit, and who are between the ages of 18-84 years old.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Acute-Livin@20:07:06</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who are 35-44 years old, 45-54 years old, 55-64 years old with the age of 55, 56, 57, 58, 59, or 60 years old, and have a diagnosis of acute pancreatitis, with vital status as living, within any time frame, with a high accuracy of 10.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENTSETFINIS@20:07:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>Patient Set for "Acute pancreati@19:59:32"Patient setFINISHED</item_name> <item_key>patient_set_coll_id:9906</item_key> <tooltip>Patient Set for "Acute pancreati@19:59:32"Patient setFINISHED</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients who have been diagnosed with acute pancreatitis and are part of the patient set "Acute pancreati@19:59:32"Patient setFINISHED" in the i2b2 database, with a specificity scale of 0 and an accuracy scale of 100, considering any time frame (ANY).
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Alz-Fro- 5-Eng@17:09:40</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Alzheimer's dementia senile and presenile forms</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\(G30) Alzheime~bkfp\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32) \ Alzheimer's dementia senile and presenile forms</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Alzheimer's disease</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\(G30) Alzheime~bkfp\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32) \ Alzheimer's disease</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Alzheimer's disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\Degenerative diseases (330-337)\(331) Other cerebral degenerations\(331-0) Alzheimer's disease\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders \ Degenerative diseases \ Other cerebral degenerations \ Alzheimer's disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Dementia of the Alzheimer's type, with early onset, uncomplicated</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\Psychosis (290-299)\(290) Senile and presenile organi~\(290-1) Presenile dementia\(290-10) Presenile dementia, unco~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Mental Disorders \ Psychosis \ Senile and presenile organic psychotic conditions \ Presenile dementia \ Presenile dementia, uncomplicated</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Mild cognitive impairment, so stated</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\(G31) Other de~tm38\(G31.8) Other~hf48\(G31.84) Mild~hwkl\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32) \ Other degenerative diseases of nervous system, not elsewhere classified \ Other specified degenerative diseases of nervous system \ Mild cognitive impairment, so stated</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Frontotemporal dementia</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\(G31) Other de~tm38\(G31.0) Fronto~6mau\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32) \ Other degenerative diseases of nervous system, not elsewhere classified \ Frontotemporal dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Dementia with lewy bodies</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\(G31) Other de~tm38\(G31.8) Other~hf48\(G31.83) Demen~dlg1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32) \ Other degenerative diseases of nervous system, not elsewhere classified \ Other specified degenerative diseases of nervous system \ Dementia with lewy bodies</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Lewy body dementia</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\(G31) Other de~tm38\(G31.8) Other~hf48\(G31.83) Demen~dlg1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32) \ Other degenerative diseases of nervous system, not elsewhere classified \ Other specified degenerative diseases of nervous system \ Lewy body dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Dementia with parkinsonism</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\(G31) Other de~tm38\(G31.8) Other~hf48\(G31.83) Demen~dlg1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32) \ Other degenerative diseases of nervous system, not elsewhere classified \ Other specified degenerative diseases of nervous system \ Dementia with parkinsonism</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Huntington's dementia</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G10-G14) Syst~ok0m\(G10) Huntingt~mr0d\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Systemic atrophies primarily affecting the central nervous system (g10-g14) \ Huntington's dementia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Vascular dementia</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(F01-F99) Ment~44ly\(F01-F09) Ment~gc6p\(F01) Vascular~4cjn\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Mental and behavioral disorders (f01-f99) \ Mental disorders due to known physiological conditions (f01-f09) \ Vascular dementia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Vascular dementia as a result of infarction of the brain due to vascular disease, including hypertensive cerebrovascular disease.</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(F01-F99) Ment~44ly\(F01-F09) Ment~gc6p\(F01) Vascular~4cjn\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Mental and behavioral disorders (f01-f99) \ Mental disorders due to known physiological conditions (f01-f09) \ Vascular dementia as a result of infarction of the brain due to vascular disease, including hypertensive cerebrovascular disease.</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>4</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>English</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Language\English\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Language \ English</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who have a diagnosis of dementia, including Alzheimer's disease, vascular dementia, or dementia with parkinsonism, and are between the ages of 5-74 years old, with a language preference for English. The query also includes the exclusion of Huntington's dementia and vascular dementia as a result of infarction of the brain due to vascular disease, including hypertensive cerebrovascular disease.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild de-nondeme@08:08:32</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>nondemented</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\nondemented\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ MMSE score \ nondemented</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a mild dementia diagnosis or a nondemented status, with no specific time frame restriction, and a high level of accuracy.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Acute p@20:07:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients between the ages of 18-14, 15-24, 25-34, 35-44, and 45-54 who have been diagnosed with acute pancreatitis and are currently living.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Livin- 18--Acute@20:09:08</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find encounters where the patient is between the ages of 18 and 34 or 35 and 444 or 45 and 54, and has a diagnosis of acute pancreatitis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Livin- 18--Acute@20:09:53</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find encounters where the patient's age is between 18 and 64 years old, specifically 5, 6, 7, 8, 555, 56, 57, 58, 59, or 60 years old, and has a diagnosis of acute pancreatitis during the same visit.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Incom-Diges-Diges@20:40:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Income-Chronic@14:15:00</item_name> <item_key>masterid:7888</item_key> <tooltip>Income-Chronic@14:15:00</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Digesti- 35-44@14:32:57</item_name> <item_key>masterid:7895</item_key> <tooltip>Digesti- 35-44@14:32:57</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Digestive syste@14:32:23</item_name> <item_key>masterid:7894</item_key> <tooltip>Digestive syste@14:32:23</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a chronic income issue and a digestive system problem occurring between 35-4 minutes after the previous query, with an accuracy scale of 100 and a specificity scale of 0.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Livin- 18--Acute@20:09:29</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find encounters where the patient is between 18-34 years old, 35-44 years old, or 45-54 years old with the diagnosis of acute pancreatitis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Livin-Acute@20:09:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all encounters where the patient is between the ages of 5 and 64 years old and is living, with a diagnosis of acute pancreatitis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Livin-Acute@20:15:33</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find encounters where the patient's demographics include age between 18 and 64 years old, with a vital status of living, and has a diagnosis of acute pancreatitis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute-Livin- 18-@20:16:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute hemorrhagic pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Idiopathic acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Recurrent acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Acute hemorrhagic pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Idiopathic acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Recurrent acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who are between the ages of 18 and 64 years old, are currently living, and have had a CT scan of the chest or abdomen performed within the last 5 years. Additionally, I want to include only patients with a diagnosis of pneumonia, COPD, or asthma within the past year, and exclude those with a history of lung cancer.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit-Princ-Secon@16:56:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Secondary Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with diagnoses related to the circulatory system (ICD-9 codes 390-459) that have been admitted to the hospital, where the circulatory system diagnosis is either the principal or secondary diagnosis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@19:10:10</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Acute pancreatitis, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Acute pancreatitis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients aged between 18 and 64 years old, who are living, and have a diagnosis of acute pancreatitis, unspecified, in the Diagnoses category of the Diseases of the Digestive System (ICD-9 code K85.9).
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-Type @20:12:55</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hypertensive disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Type 2 diabetes mellitus</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ Type 2 diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find female patients with a diagnosis of hypertensive disease and type 2 diabetes mellitus, with no specific timing or accuracy requirements, and excluding any synonyms for the specified conditions.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENTSETFINIS@20:14:53</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>Patient Set for "Livin- 18--Acute@20:09:53"Patient setFINISHED</item_name> <item_key>patient_set_coll_id:9937</item_key> <tooltip>Patient Set for "Livin- 18--Acute@20:09:53"Patient setFINISHED</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who are part of the patient set "Livin- 18 - Acute@20:09:53" and have a finished status in the patient set collection with the ID of 937.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Livin-Acute@20:17:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all encounters for patients who are 35-44 years old, 45-54 years old, or 5-64 years old with age specifications of 5, 6, 7, 8, 9, or 10 years old, have a vital status of living, and have a diagnosis of acute pancreatitis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabe- 0-9-Hispa@21:03:39</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 0-9 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 10-17 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\10-17 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 10-17 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hispanic</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Hispanic\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Hispanic</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>White</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\White\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ White</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Asian</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Asian\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Asian</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Black</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Black\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Black</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients with a diagnosis of diabetes mellitus, between the ages of 0-17 years old, who are Hispanic, White, or Asian.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 45-54 years o@20:16:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients between the ages of 45 and 54 years old in the i2b2 database using the Demographics panel and the "45-54 years old" item within the Age category. The query will be applied to any time period (ANY) and has a specificity scale of 0, meaning it will return all possible matches without filtering for specificity. The accuracy scale is set to 10, indicating high confidence in the results, and only one item is included in the panel. The query is not inverted and is of class ENC, meaning it is an encoded concept.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 45-54- 75-84@20:17:34</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients between the ages of 45-54 and 75-84 with any time range and high specificity (1000%) for demographic information.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 45-54 years o@20:17:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients between the ages of 45 and 54 years old, with any timing and specificity, and at an accuracy level of 100, within the demographics category of age.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Princ-Livin- 18-@20:20:45</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key> <applied_path>\Diagnoses\(K00-K94) Dise~rl1r\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of acute pancreatitis who are between the ages of 18-59 and are currently living.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Mixed-HMG-C@20:28:00</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hypercholesterolemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-0) Pure hypercholesterolemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hypercholesterolemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hyperglyceridemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-1) Pure hyperglyceridemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hyperglyceridemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who are between the ages of 555 and 84 years old and have a diagnosis of mixed hyperlipidemia, other and unspecified hyperlipidemia, pure hypercholesterolemia, or pure hyperglyceridemia, and have been prescribed HMG-CoA reductase inhibitors.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Diabe-Hyper@20:37:40</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-20) Diabetes mellitus, type ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}] or unspecified type with hyperosmolarity, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitustype II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-22) Diabetes mellitustype II~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitustype II [non-insulin dependent ty{..}ult-onset type] or unspecified type with hyperosmolarity, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-02) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-10) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, not stated as uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-12) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-60) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ied type, not stated as uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-62) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}e] or unspecified type, uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-50) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ified type, not stated as uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-52) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype] or unspecified type, uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-30) Diabetes mellitus, type ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}pe] [adult-onset type] or unspecified type, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus with other coma, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-32) Diabetes mellitus with o~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus with other coma, type II [non-in{..}ype] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-82) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}or unspecified type, uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-70) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype, not stated as uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-72) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} unspecified type, uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-40) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}nspecified type, not stated as uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-42) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}set type] or unspecified type, uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-90) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}cified type, not stated as uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-92) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}type] or unspecified type, uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperchylomicronemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-3) Hyperchylomicronemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Hyperchylomicronemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hypercholesterolemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-0) Pure hypercholesterolemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hypercholesterolemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hyperglyceridemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-1) Pure hyperglyceridemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hyperglyceridemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with Type 2 Diabetes Mellitus, both controlled and uncontrolled, with specified or unspecified complications, including diabetic nephropathy, retinopathy, neuropathy, and unspecified complications, as well as patients with hyperchylomicronemia, mixed hyperlipidemia, other and unspecified hyperlipidemia, pure hypercholesterolemia, and pure hyperglyceridemia.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>De-Identified MRI Reports@15:44:11</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>De-Identified MRI Reports</item_name> <item_key>\\i2b2_REP\i2b2\Reports\De-Identified MRI Reports\</item_key> <item_icon>LA</item_icon> <tooltip>\ i2b2 \ Reports \ De-Identified MRI Reports \</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>CONTAINS[database]</value_operator> <value_constraint>MRI scan</value_constraint> <value_type>LARGETEXT</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find de-identified MRI reports that contain the term "MRI scan" in the large text field, with a specificity scale of 0, accuracy scale of 100, and any timing. The query will be named "De-Identified MRI Reports@15:4:1" and will be placed on panel 1 with any timing. The report will be an ENC (Encounter) type and will not be treated as a synonym.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Livin-Princ@20:53:26</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with an age between 45 and 64 years old, living status, and a diagnosis of acute pancreatitis as a principal diagnosis within the digestive system category.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Mixed-HMG-C@20:57:21</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hypercholesterolemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-0) Pure hypercholesterolemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hypercholesterolemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hyperglyceridemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-1) Pure hyperglyceridemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hyperglyceridemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperchylomicronemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-3) Hyperchylomicronemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Hyperchylomicronemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who are 45-64 years old, have a diagnosis of mixed hyperlipidemia, and have been prescribed HMG-CoA reductase inhibitors as medication.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Mixed-HMG-C@21:08:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hypercholesterolemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-0) Pure hypercholesterolemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hypercholesterolemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hyperglyceridemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-1) Pure hyperglyceridemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hyperglyceridemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperchylomicronemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-3) Hyperchylomicronemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Hyperchylomicronemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients aged 65-74 years old with a diagnosis of mixed hyperlipidemia who have been prescribed HMG-CoA reductase inhibitors for the treatment of their condition.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Route@10:01:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Immunologic agents</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME169) immunologic agents\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ immunologic agents</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Route</modifier_name> <modifier_key>\\i2b2_MEDS\Medication\Route\</modifier_key> <applied_path>\i2b2\Medications\%</applied_path> <constrain_by_value> <value_operator>IN</value_operator> <value_constraint>('injection')</value_constraint> <value_type>TEXT</value_type> </constrain_by_value> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances of immunologic agents that have been administered through injection as a route of medication delivery, regardless of the timing or specificity of the medication usage, and with a high level of accuracy.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Metab- 65--Asian@21:10:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Metabolic and immunity disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asian</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Asian\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Asian</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Black</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Black\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Black</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Hispanic</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Hispanic\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Hispanic</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>White</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\White\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ White</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with metabolic and immunity disorders, aged 65-74 years old or older, who are of Asian, Black, or White race.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) Cholesterol@14:16:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)(t) Cholesterol (GrUA-P/C - COLOR @10:40:22 [1-26-2018] [demo]</item_name> <item_key>masterid:387</item_key> <tooltip>(t) Cholesterol (GrUA-P/C - COLOR @10:40:22 [1-26-2018] [demo]</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances of cholesterol measurements taken within a specific time frame (14 hours, 16 minutes, and 48 seconds) from the current time, with no specificity scale applied, and with a high level of accuracy (1000%) for panel 1, using the GrUA-P/C - COLOR test conducted on January 26, 2018 as a reference.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Coronavirus as @20:21:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Coronavirus as the cause of diseases classified elsewhere</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\(B95-B97) Bact~28iq\(B97) Viral ag~m3ak\(B97.2) Corona~1804\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99) \ Bacterial and viral infectious agents (b95-b97) \ Viral agents as the cause of diseases classified elsewhere \ Coronavirus as the cause of diseases classified elsewhere</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances where Coronavirus is identified as the cause of diseases classified elsewhere, according to the ICD-10 classification system, specifically within the category of viral agents causing diseases classified elsewhere (B97.2) in the Certain infectious and parasitic diseases (A0-B99) section.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Coronavirus inf@20:42:57</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Coronavirus infection, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\(B25-B34) Othe~mcam\(B34) Viral in~t8uh\(B34.2) Corona~3546\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99) \ Other viral diseases (b25-b34) \ Viral infection of unspecified site \ Coronavirus infection, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances of Coronavirus infection, unspecified, with a specificity scale of 0, a panel timing of ANY, an accuracy scale of 100, and a panel number of 1. The query should include a single item, with a hierarchy level of 4, and the item key should be "\\ICD10_ICD9\Diagnoses\(A0-B9) Cert~ugmm\(B25-B34) Othe~mcam\(B34) Viral in~t8uh\(B34.2) Corona~3546". The tooltip for this item should read "Diagnoses \ Certain infectious and parasitic diseases (a0-b9) \ Other viral diseases (b25-b34) \ Viral infection of unspecified site \ Coronavirus infection, unspecified", and the class should be set to ENC. The item should not be considered a synonym.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild dementia@09:11:57</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <constrain_by_date> <date_from>1979-12-01T00:00:00.000-05:00</date_from> <date_to>2020-09-24T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>moderate dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\moderate dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ moderate dementia</tooltip> <class>ENC</class> <constrain_by_date> <date_from>1979-12-01T00:00:00.000-05:00</date_from> <date_to>2020-09-24T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>nondemented</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\nondemented\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ MMSE score \ nondemented</tooltip> <class>ENC</class> <constrain_by_date> <date_from>1979-12-01T00:00:00.000-05:00</date_from> <date_to>2020-09-24T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a mild dementia diagnosis, excluding those with moderate dementia or nondemented status, using the Clinical Dementia Rating (CDR) measure from the OASIS clinical measures, between the dates of December 1, 1979 and September 24, 2020, with a specificity scale of 0 and an accuracy scale of 100.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Oasis-Clini-MMSE @12:27:44</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Oasis</item_name> <item_key>\\BIRN\BIRN\oasis\</item_key> <item_icon>FA</item_icon> <tooltip>oasis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Clinical Measures</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Clinical Measures</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>MMSE score</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\MMSE score\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Clinical Measures \ MMSE score</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances where the Oasis Clinical Measures panel includes an MMSE score recorded within the specified timeframe.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Hyper-HMG-C@09:35:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients between the ages of 18-85 who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors medication.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Liver Function @08:50:02</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Liver Function @12:10:40</item_name> <item_key>masterid:4250</item_key> <tooltip>Liver Function @12:10:40</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find a query that analyzes liver function tests with a specificity scale of 0 and a total of 1 item occurrence, using the panel named "Liver Function @08:50:02" with a timing set to "ANY", and the accuracy scale set to 100. This query will include the item named "Liver Function @12:10:40" with a hierarchical level of 0, and it is not a synonym. The query timing is also set to "ANY."

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Furniture witho@19:48:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Furniture without subsequent fall</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\zz E-codes\Other accidents (E916-E928)\(E917) Striking against or struck~\(E917-3) Other stationary object~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ E-codes \ Other accidents \ Striking against or struck accidentally by objects or persons \ Furniture without subsequent fall</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of diagnoses related to striking against or being struck by furniture without subsequent fall in the i2b2 database using the E-codes classification system.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@19:49:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of acute pancreatitis at any time during their medical history, with a specificity scale of 0, accuracy scale of 100, and a single item occurrence. This query is focused on the digestive system, specifically other diseases of the digestive system, and diseases of the pancreas, with the item key being (57) Acute pancreatitis. The icon used for this query is LA, and the class is ENC.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@19:50:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have been diagnosed with acute pancreatitis at any time during their medical history, with a specificity scale of 0 and an accuracy scale of 100, and the query will include the ICD-9 code range K0-K94 for diseases of the digestive system, K80-K87 for disorders of the gallbladder, biliary tract, and pancreas, and K85 for acute pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Pneumoconiosis @14:03:02</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Pneumoconiosis due to silica NOS</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Lung diseases due to external irritants (500-508)\(502) Pneumoconiosis due to other~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Lung diseases due to external irritants \ Pneumoconiosis due to other silica or silicates</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pneumoconiosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Lung diseases due to external irritants (500-508)\(505) Pneumoconiosis, unspecified\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Lung diseases due to external irritants \ Pneumoconiosis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients diagnosed with Pneumoconiosis due to silica or silicates, as well as those with unspecified Pneumoconiosis, within the Respiratory system and Lung diseases due to external irritants categories in the Diagnoses section of the i2b2 database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>1 yea-3 yea-9 yea@13:48:44</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>1 year old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\1 year old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old \ 1 year old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>3 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\3 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old \ 3 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>9 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\9 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old \ 9 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who are 1, 3, or 9 years old in the demographics category of age, within any time frame, with a high accuracy of 1000%, and without inverting the search results.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-Male@13:49:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all records where the gender is either female or male, with no specific time frame or accuracy requirements, and both genders are equally important in the search.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Principal Diagn@19:51:53</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>3</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Musculoskeletal and connective tissue</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Musculoskeletal and connective tissue</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>2</hlevel> <item_name>Metabolic and immunity disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>2</hlevel> <item_name>Infectious and parasitic diseases</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Infectious and parasitic diseases (001-139)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Infectious and parasitic diseases</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find the principal diagnosis for patients with musculoskeletal and connective tissue disorders (710-739), metabolic and immunity disorders (270-279), and infectious and parasitic diseases (01-139) within the same instance number.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34 years o@19:53:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients aged between 18-34, 35-44, and 45-54 years old from the demographics category in the i2b2 database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male-Hispani@13:50:42</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hispanic</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Hispanic\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Hispanic</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all male patients of Hispanic ethnicity in the i2b2 database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>White@12:31:02</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>White</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\White\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ White</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have the demographic attribute of being White with any specificity and timing, using the i2b2 query builder xml.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute respirato@09:34:02</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute respiratory infections</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Acute respiratory infections (460-466)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Acute respiratory infections</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of acute respiratory infections within the Respiratory system category in the Diagnoses section of the i2b2 database, with a specificity scale of 0, and a panel accuracy scale of 100, looking at any time period. The query should be inverted and include only one item with the key "\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (46-519)\Acute respiratory infections (460-46)\" and an icon of FA. The class of the item is ENC and it is not a synonym.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute-Blood-Antih@14:46:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute appendicitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K35-K38) Dise~lkd6\(K35) Acute ap~joi0\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Diseases of appendix (k35-k38) \ Acute appendicitis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Blood Gases</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB24) Blood Gases\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests \ Chemistry \ Blood Gases</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Antihyperlipidemic agents</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been diagnosed with acute appendicitis and have had blood gas tests performed, while also being treated with antihyperlipidemic agents.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit D-Admit D@17:03:03</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Digestive system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with diagnoses related to the Circulatory system (ICD codes 390-459) or Digestive system (ICD codes 520-579) as their Admit Diagnosis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@14:46:44</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of "Diabetes mellitus" diagnoses in the Endocrine disorders category under Other endocrine gland diseases, with a specificity scale of 0, accuracy scale of 100, and no inversion, with the query timing set to ANY and the panel timing also set to ANY.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female@13:07:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>2</hlevel> <item_name>Congenital malformations of eye, ear, face and neck (q10-q18)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(Q00-Q99) Cong~t96i\(Q10-Q18) Cong~gzew\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital malformations, deformations and chromosomal abnormalities (q00-q99) \ Congenital malformations of eye, ear, face and neck (q10-q18)</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Admit Diagnosis\</modifier_key> <applied_path>\Diagnoses\(Q00-Q99) Cong~t96i\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all female patients who have been admitted with a diagnosis of congenital malformations of the eye, ear, face, or neck (ICD codes Q10-Q18) in the i2b2 database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Visit at age 10@15:49:33</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Visit at age 100 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\>= 65 years old\100\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Age at visit \ >= 65 years old \ 100 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all visits where the patient was 10 years old at the time of the visit, with no specific time constraint, and the query should have a high level of accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Secon-Secon-Princ@17:02:22</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Secondary Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Disease of capillaries</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\(448) Disease of capillaries\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Disease of capillaries</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Disease of capillaries</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\(448) Disease of capillaries\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Disease of capillaries</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Secondary Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Disease of capillaries</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\(448) Disease of capillaries\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Disease of capillaries</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances where the 'Disease of capillaries' (ICD-9 code 48) is present as a secondary diagnosis or principal diagnosis within the Circulatory System (ICD-9 codes 390-459) category in the patient's medical record.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Seconda-Seconda@17:02:39</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Secondary Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Disease of capillaries</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\(448) Disease of capillaries\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Disease of capillaries</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Disease of capillaries</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\(448) Disease of capillaries\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Disease of capillaries</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Secondary Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a secondary diagnosis of "Disease of capillaries" within the category of "Circulatory system" diagnoses. The search should include all occurrences of this diagnosis, with no specific time constraints, and the results should be 1000% accurate.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Prostate cancer@14:05:35</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Prostate cancer</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Genitourinary organs (179-189)\(185) Malignant neoplasm of prost~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neoplasms \ Malignant neoplasms \ Genitourinary organs \ Malignant neoplasm of prostate</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of prostate cancer in the i2b2 database, regardless of when the diagnosis was made, using the specific encoding "Malignant neoplasm of prostate" (185) from the Diagnoses category, under the Neoplasms subcategory, within the Malignant neoplasms section, and specifically related to Genitourinary organs. This query will have a specificity scale of 0, meaning that it will return all instances of prostate cancer regardless of specificity, and an accuracy scale of 100, indicating high confidence in the results. The query will include only one item and will not be inverted, meaning that the results will only include patients with the specified diagnosis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit D-Admit D@17:03:14</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Digestive system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a primary diagnosis of circulatory or digestive system disorders at the time of admission.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Certain conditi@11:13:20</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Certain conditions originating in the perinatal period (p00-p96)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(P00-P96) Cert~6976\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain conditions originating in the perinatal period (p00-p96)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with certain conditions originating in the perinatal period (p0-p96) that have been diagnosed at any time with a high level of specificity, using the ICD-10 or ICD-9 coding system, and display the results on panel 1 with a tooltip indicating "Diagnoses - Certain conditions originating in the perinatal period (p0-p96)" and an icon representing the Encounter type.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Principal Diagn@12:52:38</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Endocrine disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Endocrine disorders (240-259)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a principal diagnosis of endocrine disorders (ICD codes 240-259) at any time during their medical history, with a specificity scale of 0, accuracy scale of 100, and a single panel with no inversion, using the i2b2 query builder.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Principal Diagn@15:04:08</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Arterial vascular disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Arterial vascular disease (440-447)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Arterial vascular disease</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a principal diagnosis of arterial vascular disease within the circulatory system (ICD codes 40-47) at any time during their medical history, with a specificity scale of 0 and an accuracy scale of 100. The query should only return one result per patient, and the diagnosis must be coded as a principal diagnosis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Plate-Speci-Hyper@15:26:46</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Platelet Aggregation</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB6) Coagulation\(LLB11) Platelet Aggregation\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests \ Coagulation \ Platelet Aggregation</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Special Coagulation Interp</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB6) Coagulation\(LLB15) Special Coagulation Interp\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests \ Coagulation \ Special Coagulation Interp</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hypercoagulation Studies</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB6) Coagulation\(LLB9) Hypercoagulation Studies\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests \ Coagulation \ Hypercoagulation Studies</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of Platelet Aggregation, Special Coagulation Interpretation, and Hypercoagulation Studies from the Coagulation section of the Labtests panel in the i2b2 database, with a specificity scale of 0, accuracy scale of 100, and any timing.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Certain-Male@11:14:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Certain conditions originating in the perinatal period (p00-p96)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(P00-P96) Cert~6976\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain conditions originating in the perinatal period (p00-p96)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all male patients with certain conditions originating in the perinatal period (p0-p96) with a specificity scale of 0, accuracy scale of 100, and any timing.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Prostate cancer@14:06:31</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Prostate cancer</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Genitourinary organs (179-189)\(185) Malignant neoplasm of prost~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neoplasms \ Malignant neoplasms \ Genitourinary organs \ Malignant neoplasm of prostate</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of patients with a diagnosis of prostate cancer in the i2b2 database using the query builder.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperlipidemia@19:53:46</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of diagnoses related to metabolic and immunity disorders, specifically focusing on disorders of lipid metabolism, and more specifically on other and unspecified hyperlipidemia within the i2b2 data repository. The query will have a high accuracy scale and no specific timing constraints, and the panel will include a single item with a total of one occurrence.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diagnoses@19:53:24</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diagnoses</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all diagnoses recorded in the i2b2 database with a specificity scale of 0, an accuracy scale of 100, and a panel timing of ANY, where the query timing is also set to ANY and the panel number is 1. The query should include a single item with a hierarchy level of 1, named "Diagnoses", using the key \\i2b2_DIAG\i2b2\Diagnoses\, and with an icon of FA. This item should not be treated as a synonym, and the class should be ENC.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34 years o@19:54:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients aged between 18-34 years, 35-44 years, 45-54 years, 555-64 years, and 65 years or older who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>HMG-CoA-Disorde@16:17:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Disorders of lipoid metabolism</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\</item_key> <item_icon>FA</item_icon> <tooltip>Disorders of lipoid metabolism</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been prescribed HMG-CoA reductase inhibitors and have a diagnosis of disorders of lipoid metabolism within any time frame.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>HMG-CoA-Disorde@16:17:33</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Disorders of lipoid metabolism</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\</item_key> <item_icon>FA</item_icon> <tooltip>Disorders of lipoid metabolism</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been prescribed HMG-CoA reductase inhibitors medications and have a diagnosis of disorders of lipoid metabolism at any time in their medical history, with a high level of specificity and accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Striking agains@16:27:09</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Striking against or struck by sports equipment</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(V00-X58) Acci~0025\(W00-X58) Othe~smrn\(W20-W49) Expo~uaqb\(W21) Striking~117j\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Accidents (v00-x58) \ Other external causes of accidental injury (w00-x58) \ Exposure to inanimate mechanical forces (w20-w49) \ Striking against or struck by sports equipment</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find cases of individuals who have been diagnosed with injuries resulting from striking against or being struck by sports equipment, as classified under the ICD10-ICD9 code range V0-X58, W0-X58, and W20-W49, with a specificity scale of 0 and a panel accuracy scale of 100, with the query being applicable to any time period and having a single panel with no inversion.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Living- 18-34@19:47:19</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>75 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\75 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old \ 75 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>76 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\76 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old \ 76 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>77 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\77 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old \ 77 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>78 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\78 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old \ 78 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>79 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\79 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old \ 79 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>80 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\80 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old \ 80 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients in the i2b2 database who are between the ages of 18 and 84 years old, including specific ages of 75, 76, 777, 78, 79, and 80 years old.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@19:52:55</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of acute pancreatitis in the i2b2 database, regardless of when the diagnosis was made, with a high level of specificity and accuracy, and categorized under the Digestive System > Other Diseases of Digestive System > Diseases of Pancreas > Acute Pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34 years o@19:53:02</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients aged between 18 and 64 years old, categorized into three age groups: 18-34 years old, 35-44 years old, and 45-54 years old.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Income-Chronic@14:15:00</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Income</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Income\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Income</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Chronic obstructive diseases</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Chronic obstructive diseases (490-496)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Chronic obstructive diseases</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with chronic obstructive diseases of the respiratory system, who also have demographic information available on their income.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Secon-Black-Marri@14:23:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Congenital malformations, deformations and chromosomal abnormalities (q00-q99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(Q00-Q99) Cong~t96i\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital malformations, deformations and chromosomal abnormalities (q00-q99)</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Secondary Diagnosis\</modifier_key> <applied_path>\Diagnoses\(Q00-Q99) Cong~t96i\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Black</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Black\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Black</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Married</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Marital Status\Married\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Marital Status \ Married</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a secondary diagnosis of congenital malformations, deformations, or chromosomal abnormalities (ICD-9 codes Q0-Q9) who are Black in race and married in marital status.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Low i-Hispa-Disea@14:25:54</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Low income</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Income\Low income\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Income \ Low income</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hispanic</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Hispanic\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Hispanic</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Hispanic</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Hispanic\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Hispanic</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Asian</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Asian\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Asian</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diseases of the respiratory system (j00-j99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a low income, who are Hispanic or Asian, and have a disease of the respiratory system (ICD codes J0-J9) diagnosis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diagnoses@19:54:37</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diagnoses</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Hyperlipidemia@19:53:46</item_name> <item_key>masterid:4343</item_key> <tooltip>Hyperlipidemia@19:53:46</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Acute pancreati@19:52:55</item_name> <item_key>masterid:4340</item_key> <tooltip>Acute pancreati@19:52:55</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have been diagnosed with Hyperlipidemia or Acute Pancreatitis, with the specificity set to 100 and the query timing set to ANY, using the i2b2 query builder.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Acute p@19:54:46</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.8) Other~it2t\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Other acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients aged between 18-34, 35-44, 45-54 years old who have been diagnosed with acute pancreatitis or other acute pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Low i-Hispa-Disea@14:26:33</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Low income</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Income\Low income\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Income \ Low income</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hispanic</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Hispanic\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Hispanic</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Hispanic</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Hispanic\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Hispanic</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Asian</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Asian\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Asian</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diseases of the respiratory system (j00-j99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with low income, who are Hispanic or Asian, and have diseases of the respiratory system (j0-j9).

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit Diagnosis@14:31:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all diagnoses related to the circulatory system (ICD codes 390-459) that were recorded as the admit diagnosis, with a specificity scale of 0 and a panel accuracy scale of 100, with a single item in the panel and no inversion applied.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Princ-Secon-High @16:48:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Acquired hypothyroidism</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Thyroid disorders (240-246)\(244) Acquired hypothyroidism\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Thyroid disorders \ Acquired hypothyroidism</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Endocrine disorders (240-259)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Other specified acquired hypothyroidism</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Thyroid disorders (240-246)\(244) Acquired hypothyroidism\(244-8) Other specified acquired ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Thyroid disorders \ Acquired hypothyroidism \ Other specified acquired hypothyroidism</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Secondary Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Endocrine disorders (240-259)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>High income</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Income\High income\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Income \ High income</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a principal diagnosis of acquired hypothyroidism and a secondary diagnosis of other specified acquired hypothyroidism, who also have a high income.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@19:58:36</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of acute pancreatitis at any time in their medical history, using the specific ICD-9-CM code (570-579) for diseases of the pancreas and the subcategory (57-0) for acute pancreatitis. This query will return results with a high level of specificity (100%) and will not be inverted, meaning it will only include patients who have been diagnosed with acute pancreatitis. The query is named "Acute pancreati@19:58:36" and the panel number is 1.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperli-HMG-CoA@20:00:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors, specifically those aged between 18-34, 35-44, 5-64, and 65-74, and those 65 years and older.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit Diagnosis@14:32:07</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>Patient Set for "Mycases" - FINISHEDPatient list</item_name> <item_key>patient_set_coll_id:3817</item_key> <tooltip>Patient Set for "Mycases" - FINISHEDPatient list</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients in the "Mycases" patient set who have an admit diagnosis related to the circulatory system (ICD codes 390-459) with a high level of specificity and accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Digesti- 35-44@14:32:57</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Digestive syste@16:45:44 [8-13-2020] [demo]</item_name> <item_key>masterid:4136</item_key> <tooltip>Digestive syste@16:45:44 [8-13-2020] [demo]</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients between the ages of 35 and 444 years old with a diagnosis related to the digestive system within any time frame.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@19:59:32</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of acute pancreatitis at any time during their medical history, with a specificity scale of 0 and a total item occurrence of 1, using the ICD-10 code 570-579. The panel has an accuracy scale of 100, and the diagnosis is considered a synonym for the query. The query will return patients with acute pancreatitis under the category of diseases of the pancreas within the digestive system diagnoses.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Hyper-HMG-C@20:00:49</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients aged 18-34, 35-44, 45-54, 555-64, and 65-74 years old who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Atrial -Gender@22:27:05</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Atrial fibrillation and flutter</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I30-I52) Othe~w6tz\(I48) Atrial f~wiu4\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Other forms of heart disease (i30-i52) \ Atrial fibrillation and flutter</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of Atrial fibrillation or flutter and their gender information in the demographics category.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Acute-Livin@09:26:28</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all encounters where the patient is between the ages of 35 and 64 years old, has been diagnosed with acute pancreatitis, and is currently living.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) Female- 35-44FemaleRespira@15:11:28</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Observation A</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>ANY</aggregate_operator> </first_query> <operator>EQUAL</operator> <second_query> <query_id>Observation C</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>ANY</aggregate_operator> </second_query> </subquery_constraint> <subquery> <query_id>Observation A</query_id> <query_type>EVENT</query_type> <query_name>Observation A</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Observation C</query_id> <query_type>EVENT</query_type> <query_name>Observation C</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Respiratory agents</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME219) respiratory agents\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ respiratory agents</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```

I want to find female patients between the ages of 35 and 444 who have been prescribed respiratory agents within the same encounter.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@20:00:56</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of acute pancreatitis, regardless of when they were diagnosed, and I want the search to be as specific as possible, with the diagnosis being coded under the ICD-10-CM code K85.0. The query should be part of a panel with one item, and the item should be labeled "Acute pancreatitis" with the tooltip "Diagnoses > Digestive system > Other diseases of digestive system > Diseases of pancreas > Acute pancreatitis". The item should be classified as an ENC (Encounter) type, and should be treated as a synonym for other similar diagnoses.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Hyper-HMG-C@20:03:04</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who are between the ages of 18-84 years old, have been diagnosed with hyperlipidemia, and have been prescribed HMG-CoA reductase inhibitors.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperli-HMG-CoA@20:05:00</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of hyperlipidemia and who were prescribed HMG-CoA reductase inhibitors, within the age range of 18-84 years old, at any visit.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) FemaleCoughAcute upper res@10:58:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Event 1</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>ANY</aggregate_operator> </second_query> <span> <operator>GREATEREQUAL</operator> <span_value>1</span_value> <units>DAY</units> </span> </subquery_constraint> <subquery> <query_id>Event 1</query_id> <query_type>EVENT</query_type> <query_name>Event 1</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Cough</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\Symptoms (780-789)\(786) Symptoms involving respirat~\(786-2) Cough\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions \ Symptoms \ Symptoms involving respiratory system and other chest symptoms \ Cough</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Event 2</query_id> <query_type>EVENT</query_type> <query_name>Event 2</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute upper respiratory infections of unspecified site</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Acute respiratory infections (460-466)\(465) Acute upper respiratory inf~\(465-9) Acute upper respiratory i~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Acute upper respiratory infections of multiple or unspecified sites \ Acute upper respiratory infections of unspecified site</tooltip> <class>ENC</class> <constrain_by_date> <date_to>2005-01-01T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```

I want to find all female patients who have a record of cough as a symptom and have been diagnosed with acute upper respiratory infections of unspecified site within the same instance number. The query will search for these records within the i2b2 database, specifically in the Demographics, Diagnoses, and Encounters sections. The search will be restricted to those occurring within a span of less than or equal to 1 day from the start date of the first query and greater than or equal to 1 day from the start date of the second query. The query will have an accuracy scale of 100 and will not include synonyms for the specified conditions.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-Diabe@09:39:45</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with a diagnosis of essential hypertension and type II diabetes mellitus without mention of complications, within any time frame.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@20:01:27</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of acute pancreatitis, regardless of when the diagnosis was made, and I want to use a specificity scale of 0, meaning that all cases of acute pancreatitis should be included, with a high accuracy scale of 10, meaning that I want the most accurate results possible. I also want to include only one item in my panel, which is the diagnosis of acute pancreatitis, using the ICD-10 code K85.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Acute p@20:05:32</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all encounters where the patient is between the ages of 18 and 64 years old and has been diagnosed with acute pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Digestive syste@14:32:23</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Digestive syste@16:45:44 [8-13-2020] [demo]</item_name> <item_key>masterid:4136</item_key> <tooltip>Digestive syste@16:45:44 [8-13-2020] [demo]</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find a query that searches for any records related to the digestive system within the i2b2 database, with a specificity scale of 0 and a high level of accuracy, using the panel number 1 and panel timing set to ANY, and the query name is "Digestive syste@14:32:23".

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Incom-Diges-Diges@20:40:05</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Income-Chronic@14:15:00</item_name> <item_key>masterid:7888</item_key> <tooltip>Income-Chronic@14:15:00</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Digesti- 35-44@14:32:57</item_name> <item_key>masterid:7895</item_key> <tooltip>Digesti- 35-44@14:32:57</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Digestive syste@14:32:23</item_name> <item_key>masterid:7894</item_key> <tooltip>Digestive syste@14:32:23</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have a history of chronic digestive system diseases and low income.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Dutch-Diagnos@17:45:23</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Dutch</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Language\Dutch\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Language \ Dutch</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diagnoses</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find demographic information on individuals who speak Dutch and are between the ages of 18-444 years old, as well as their associated diagnoses.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperli-HMG-CoA@20:05:26</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of hyperlipidemia and who were prescribed HMG-CoA reductase inhibitors, within the same visit, and who are between the ages of 18-84 years old.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Acute-Livin@20:07:06</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who are 35-44 years old, 45-54 years old, 55-64 years old with the age of 55, 56, 57, 58, 59, or 60 years old, and have a diagnosis of acute pancreatitis, with vital status as living, within any time frame, with a high accuracy of 10.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENTSETFINIS@20:07:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>Patient Set for "Acute pancreati@19:59:32"Patient setFINISHED</item_name> <item_key>patient_set_coll_id:9906</item_key> <tooltip>Patient Set for "Acute pancreati@19:59:32"Patient setFINISHED</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have been diagnosed with acute pancreatitis and are part of the patient set "Acute pancreati@19:59:32"Patient setFINISHED" in the i2b2 database, with a specificity scale of 0 and an accuracy scale of 100, considering any time frame (ANY).

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Alz-Fro- 5-Eng@17:09:40</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Alzheimer's dementia senile and presenile forms</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\(G30) Alzheime~bkfp\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32) \ Alzheimer's dementia senile and presenile forms</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Alzheimer's disease</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\(G30) Alzheime~bkfp\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32) \ Alzheimer's disease</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Alzheimer's disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\Degenerative diseases (330-337)\(331) Other cerebral degenerations\(331-0) Alzheimer's disease\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders \ Degenerative diseases \ Other cerebral degenerations \ Alzheimer's disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Dementia of the Alzheimer's type, with early onset, uncomplicated</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\Psychosis (290-299)\(290) Senile and presenile organi~\(290-1) Presenile dementia\(290-10) Presenile dementia, unco~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Mental Disorders \ Psychosis \ Senile and presenile organic psychotic conditions \ Presenile dementia \ Presenile dementia, uncomplicated</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Mild cognitive impairment, so stated</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\(G31) Other de~tm38\(G31.8) Other~hf48\(G31.84) Mild~hwkl\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32) \ Other degenerative diseases of nervous system, not elsewhere classified \ Other specified degenerative diseases of nervous system \ Mild cognitive impairment, so stated</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Frontotemporal dementia</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\(G31) Other de~tm38\(G31.0) Fronto~6mau\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32) \ Other degenerative diseases of nervous system, not elsewhere classified \ Frontotemporal dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Dementia with lewy bodies</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\(G31) Other de~tm38\(G31.8) Other~hf48\(G31.83) Demen~dlg1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32) \ Other degenerative diseases of nervous system, not elsewhere classified \ Other specified degenerative diseases of nervous system \ Dementia with lewy bodies</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Lewy body dementia</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\(G31) Other de~tm38\(G31.8) Other~hf48\(G31.83) Demen~dlg1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32) \ Other degenerative diseases of nervous system, not elsewhere classified \ Other specified degenerative diseases of nervous system \ Lewy body dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Dementia with parkinsonism</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\(G31) Other de~tm38\(G31.8) Other~hf48\(G31.83) Demen~dlg1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32) \ Other degenerative diseases of nervous system, not elsewhere classified \ Other specified degenerative diseases of nervous system \ Dementia with parkinsonism</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Huntington's dementia</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G10-G14) Syst~ok0m\(G10) Huntingt~mr0d\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Systemic atrophies primarily affecting the central nervous system (g10-g14) \ Huntington's dementia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Vascular dementia</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(F01-F99) Ment~44ly\(F01-F09) Ment~gc6p\(F01) Vascular~4cjn\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Mental and behavioral disorders (f01-f99) \ Mental disorders due to known physiological conditions (f01-f09) \ Vascular dementia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Vascular dementia as a result of infarction of the brain due to vascular disease, including hypertensive cerebrovascular disease.</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(F01-F99) Ment~44ly\(F01-F09) Ment~gc6p\(F01) Vascular~4cjn\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Mental and behavioral disorders (f01-f99) \ Mental disorders due to known physiological conditions (f01-f09) \ Vascular dementia as a result of infarction of the brain due to vascular disease, including hypertensive cerebrovascular disease.</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>4</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>English</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Language\English\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Language \ English</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have a diagnosis of dementia, including Alzheimer's disease, vascular dementia, or dementia with parkinsonism, and are between the ages of 5-74 years old, with a language preference for English. The query also includes the exclusion of Huntington's dementia and vascular dementia as a result of infarction of the brain due to vascular disease, including hypertensive cerebrovascular disease.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild de-nondeme@08:08:32</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>nondemented</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\nondemented\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ MMSE score \ nondemented</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a mild dementia diagnosis or a nondemented status, with no specific time frame restriction, and a high level of accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Acute p@20:07:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients between the ages of 18-14, 15-24, 25-34, 35-44, and 45-54 who have been diagnosed with acute pancreatitis and are currently living.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Livin- 18--Acute@20:09:08</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find encounters where the patient is between the ages of 18 and 34 or 35 and 444 or 45 and 54, and has a diagnosis of acute pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Livin- 18--Acute@20:09:53</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find encounters where the patient's age is between 18 and 64 years old, specifically 5, 6, 7, 8, 555, 56, 57, 58, 59, or 60 years old, and has a diagnosis of acute pancreatitis during the same visit.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Incom-Diges-Diges@20:40:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Income-Chronic@14:15:00</item_name> <item_key>masterid:7888</item_key> <tooltip>Income-Chronic@14:15:00</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Digesti- 35-44@14:32:57</item_name> <item_key>masterid:7895</item_key> <tooltip>Digesti- 35-44@14:32:57</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Digestive syste@14:32:23</item_name> <item_key>masterid:7894</item_key> <tooltip>Digestive syste@14:32:23</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a chronic income issue and a digestive system problem occurring between 35-4 minutes after the previous query, with an accuracy scale of 100 and a specificity scale of 0.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Livin- 18--Acute@20:09:29</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find encounters where the patient is between 18-34 years old, 35-44 years old, or 45-54 years old with the diagnosis of acute pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Livin-Acute@20:09:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all encounters where the patient is between the ages of 5 and 64 years old and is living, with a diagnosis of acute pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Livin-Acute@20:15:33</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find encounters where the patient's demographics include age between 18 and 64 years old, with a vital status of living, and has a diagnosis of acute pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute-Livin- 18-@20:16:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute hemorrhagic pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Idiopathic acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Recurrent acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Acute hemorrhagic pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Idiopathic acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Recurrent acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who are between the ages of 18 and 64 years old, are currently living, and have had a CT scan of the chest or abdomen performed within the last 5 years. Additionally, I want to include only patients with a diagnosis of pneumonia, COPD, or asthma within the past year, and exclude those with a history of lung cancer.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit-Princ-Secon@16:56:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Secondary Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with diagnoses related to the circulatory system (ICD-9 codes 390-459) that have been admitted to the hospital, where the circulatory system diagnosis is either the principal or secondary diagnosis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@19:10:10</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Acute pancreatitis, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Acute pancreatitis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients aged between 18 and 64 years old, who are living, and have a diagnosis of acute pancreatitis, unspecified, in the Diagnoses category of the Diseases of the Digestive System (ICD-9 code K85.9).

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-Type @20:12:55</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hypertensive disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Type 2 diabetes mellitus</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ Type 2 diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with a diagnosis of hypertensive disease and type 2 diabetes mellitus, with no specific timing or accuracy requirements, and excluding any synonyms for the specified conditions.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENTSETFINIS@20:14:53</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>Patient Set for "Livin- 18--Acute@20:09:53"Patient setFINISHED</item_name> <item_key>patient_set_coll_id:9937</item_key> <tooltip>Patient Set for "Livin- 18--Acute@20:09:53"Patient setFINISHED</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who are part of the patient set "Livin- 18 - Acute@20:09:53" and have a finished status in the patient set collection with the ID of 937.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Livin-Acute@20:17:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all encounters for patients who are 35-44 years old, 45-54 years old, or 5-64 years old with age specifications of 5, 6, 7, 8, 9, or 10 years old, have a vital status of living, and have a diagnosis of acute pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabe- 0-9-Hispa@21:03:39</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 0-9 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 10-17 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\10-17 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 10-17 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hispanic</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Hispanic\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Hispanic</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>White</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\White\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ White</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Asian</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Asian\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Asian</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Black</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Black\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Black</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of diabetes mellitus, between the ages of 0-17 years old, who are Hispanic, White, or Asian.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 45-54 years o@20:16:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients between the ages of 45 and 54 years old in the i2b2 database using the Demographics panel and the "45-54 years old" item within the Age category. The query will be applied to any time period (ANY) and has a specificity scale of 0, meaning it will return all possible matches without filtering for specificity. The accuracy scale is set to 10, indicating high confidence in the results, and only one item is included in the panel. The query is not inverted and is of class ENC, meaning it is an encoded concept.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 45-54- 75-84@20:17:34</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients between the ages of 45-54 and 75-84 with any time range and high specificity (1000%) for demographic information.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 45-54 years o@20:17:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients between the ages of 45 and 54 years old, with any timing and specificity, and at an accuracy level of 100, within the demographics category of age.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Princ-Livin- 18-@20:20:45</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key> <applied_path>\Diagnoses\(K00-K94) Dise~rl1r\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of acute pancreatitis who are between the ages of 18-59 and are currently living.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Mixed-HMG-C@20:28:00</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hypercholesterolemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-0) Pure hypercholesterolemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hypercholesterolemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hyperglyceridemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-1) Pure hyperglyceridemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hyperglyceridemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who are between the ages of 555 and 84 years old and have a diagnosis of mixed hyperlipidemia, other and unspecified hyperlipidemia, pure hypercholesterolemia, or pure hyperglyceridemia, and have been prescribed HMG-CoA reductase inhibitors.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Diabe-Hyper@20:37:40</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-20) Diabetes mellitus, type ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}] or unspecified type with hyperosmolarity, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitustype II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-22) Diabetes mellitustype II~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitustype II [non-insulin dependent ty{..}ult-onset type] or unspecified type with hyperosmolarity, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-02) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-10) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, not stated as uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-12) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-60) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ied type, not stated as uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-62) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}e] or unspecified type, uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-50) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ified type, not stated as uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-52) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype] or unspecified type, uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-30) Diabetes mellitus, type ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}pe] [adult-onset type] or unspecified type, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus with other coma, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-32) Diabetes mellitus with o~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus with other coma, type II [non-in{..}ype] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-82) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}or unspecified type, uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-70) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype, not stated as uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-72) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} unspecified type, uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-40) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}nspecified type, not stated as uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-42) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}set type] or unspecified type, uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-90) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}cified type, not stated as uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-92) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}type] or unspecified type, uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperchylomicronemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-3) Hyperchylomicronemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Hyperchylomicronemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hypercholesterolemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-0) Pure hypercholesterolemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hypercholesterolemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hyperglyceridemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-1) Pure hyperglyceridemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hyperglyceridemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with Type 2 Diabetes Mellitus, both controlled and uncontrolled, with specified or unspecified complications, including diabetic nephropathy, retinopathy, neuropathy, and unspecified complications, as well as patients with hyperchylomicronemia, mixed hyperlipidemia, other and unspecified hyperlipidemia, pure hypercholesterolemia, and pure hyperglyceridemia.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>De-Identified MRI Reports@15:44:11</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>De-Identified MRI Reports</item_name> <item_key>\\i2b2_REP\i2b2\Reports\De-Identified MRI Reports\</item_key> <item_icon>LA</item_icon> <tooltip>\ i2b2 \ Reports \ De-Identified MRI Reports \</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>CONTAINS[database]</value_operator> <value_constraint>MRI scan</value_constraint> <value_type>LARGETEXT</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find de-identified MRI reports that contain the term "MRI scan" in the large text field, with a specificity scale of 0, accuracy scale of 100, and any timing. The query will be named "De-Identified MRI Reports@15:4:1" and will be placed on panel 1 with any timing. The report will be an ENC (Encounter) type and will not be treated as a synonym.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Livin-Princ@20:53:26</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with an age between 45 and 64 years old, living status, and a diagnosis of acute pancreatitis as a principal diagnosis within the digestive system category.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Mixed-HMG-C@20:57:21</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hypercholesterolemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-0) Pure hypercholesterolemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hypercholesterolemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hyperglyceridemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-1) Pure hyperglyceridemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hyperglyceridemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperchylomicronemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-3) Hyperchylomicronemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Hyperchylomicronemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who are 45-64 years old, have a diagnosis of mixed hyperlipidemia, and have been prescribed HMG-CoA reductase inhibitors as medication.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Mixed-HMG-C@21:08:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hypercholesterolemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-0) Pure hypercholesterolemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hypercholesterolemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pure hyperglyceridemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-1) Pure hyperglyceridemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hyperglyceridemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperchylomicronemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-3) Hyperchylomicronemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Hyperchylomicronemia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients aged 65-74 years old with a diagnosis of mixed hyperlipidemia who have been prescribed HMG-CoA reductase inhibitors for the treatment of their condition.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Route@10:01:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Immunologic agents</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME169) immunologic agents\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ immunologic agents</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Route</modifier_name> <modifier_key>\\i2b2_MEDS\Medication\Route\</modifier_key> <applied_path>\i2b2\Medications\%</applied_path> <constrain_by_value> <value_operator>IN</value_operator> <value_constraint>('injection')</value_constraint> <value_type>TEXT</value_type> </constrain_by_value> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of immunologic agents that have been administered through injection as a route of medication delivery, regardless of the timing or specificity of the medication usage, and with a high level of accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Metab- 65--Asian@21:10:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Metabolic and immunity disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asian</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Asian\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Asian</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Black</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Black\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Black</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Hispanic</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Hispanic\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Hispanic</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>White</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\White\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ White</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with metabolic and immunity disorders, aged 65-74 years old or older, who are of Asian, Black, or White race.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) Cholesterol@14:16:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)(t) Cholesterol (GrUA-P/C - COLOR @10:40:22 [1-26-2018] [demo]</item_name> <item_key>masterid:387</item_key> <tooltip>(t) Cholesterol (GrUA-P/C - COLOR @10:40:22 [1-26-2018] [demo]</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of cholesterol measurements taken within a specific time frame (14 hours, 16 minutes, and 48 seconds) from the current time, with no specificity scale applied, and with a high level of accuracy (1000%) for panel 1, using the GrUA-P/C - COLOR test conducted on January 26, 2018 as a reference.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Coronavirus as @20:21:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Coronavirus as the cause of diseases classified elsewhere</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\(B95-B97) Bact~28iq\(B97) Viral ag~m3ak\(B97.2) Corona~1804\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99) \ Bacterial and viral infectious agents (b95-b97) \ Viral agents as the cause of diseases classified elsewhere \ Coronavirus as the cause of diseases classified elsewhere</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances where Coronavirus is identified as the cause of diseases classified elsewhere, according to the ICD-10 classification system, specifically within the category of viral agents causing diseases classified elsewhere (B97.2) in the Certain infectious and parasitic diseases (A0-B99) section.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Coronavirus inf@20:42:57</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Coronavirus infection, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\(B25-B34) Othe~mcam\(B34) Viral in~t8uh\(B34.2) Corona~3546\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99) \ Other viral diseases (b25-b34) \ Viral infection of unspecified site \ Coronavirus infection, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of Coronavirus infection, unspecified, with a specificity scale of 0, a panel timing of ANY, an accuracy scale of 100, and a panel number of 1. The query should include a single item, with a hierarchy level of 4, and the item key should be "\\ICD10_ICD9\Diagnoses\(A0-B9) Cert~ugmm\(B25-B34) Othe~mcam\(B34) Viral in~t8uh\(B34.2) Corona~3546". The tooltip for this item should read "Diagnoses \ Certain infectious and parasitic diseases (a0-b9) \ Other viral diseases (b25-b34) \ Viral infection of unspecified site \ Coronavirus infection, unspecified", and the class should be set to ENC. The item should not be considered a synonym.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild dementia@09:11:57</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <constrain_by_date> <date_from>1979-12-01T00:00:00.000-05:00</date_from> <date_to>2020-09-24T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>moderate dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\moderate dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ moderate dementia</tooltip> <class>ENC</class> <constrain_by_date> <date_from>1979-12-01T00:00:00.000-05:00</date_from> <date_to>2020-09-24T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>nondemented</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\nondemented\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ MMSE score \ nondemented</tooltip> <class>ENC</class> <constrain_by_date> <date_from>1979-12-01T00:00:00.000-05:00</date_from> <date_to>2020-09-24T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a mild dementia diagnosis, excluding those with moderate dementia or nondemented status, using the Clinical Dementia Rating (CDR) measure from the OASIS clinical measures, between the dates of December 1, 1979 and September 24, 2020, with a specificity scale of 0 and an accuracy scale of 100.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Oasis-Clini-MMSE @12:27:44</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Oasis</item_name> <item_key>\\BIRN\BIRN\oasis\</item_key> <item_icon>FA</item_icon> <tooltip>oasis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Clinical Measures</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Clinical Measures</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>MMSE score</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\MMSE score\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Clinical Measures \ MMSE score</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances where the Oasis Clinical Measures panel includes an MMSE score recorded within the specified timeframe.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Hyper-HMG-C@09:35:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients between the ages of 18-85 who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors medication.