Datasets:

nmitchko

/

i2b2-query-data-1.0

like 1

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>PLT-Tem-Mal-Fem@12:00:34</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>5</hlevel> <item_name>PLT ESTIMATE (LOINC:26515-7)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB57) Complete Blood Count\PLT\LOINC:26515-7\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Complete Blood Count \ PLT (Group:PLT) \ PLT ESTIMATE (LOINC:26515-7)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>50</value_constraint> <value_unit_of_measure>k/ul</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <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>Temozolomide</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME55) antineoplastics\(LME56) alkylating agents\temozolomide\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antineoplastics \ alkylating agents \ temozolomide</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>Malignant neoplasm of brain</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(C00-D49) Neop~k3n8\(C00-C96) Mali~yqqr\(C00-C75) Mali~lbm0\(C69-C72) Mali~8lvo\(C71) Malignan~7z3n\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neoplasms (c00-d49) \ Malignant neoplasms (c00-c96) \ Malignant neoplasms, stated or presumed to be primary (of specified sites), and certain specified histologies, except neuroendocrine, and of lymphoid, hematopoietic and related tissue (c00-c75) \ Malignant neoplasms of eye, brain and other parts of central nervous system (c69-c72) \ Malignant neoplasm of brain</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>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> </ns3:query_definition> ```

I want to find female patients with a diagnosis of malignant neoplasm of the brain who have had a PLT estimate (LOINC:26515-7) result lower than 50 k/ul at any time, and who have been prescribed temozolomide at any time.

```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>moderat-Derived@09:18:48</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>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> <item_is_synonym>false</item_is_synonym> </item> <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>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>Derived Anatomic Volumes</item_name> <item_key>\\BIRN\BIRN\oasis\Derived Anatomic Volumes\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Derived Anatomic Volumes</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 moderate dementia from the Clinical Dementia Rating (CDR) and any Derived Anatomic Volumes recorded in their medical records.

```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 -moder- 18-@12:10:22</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>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>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> <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> </panel> </ns4:query_definition> ```

I want to find patients who have been diagnosed with mild or moderate dementia and are between the ages of 18 and 34 years old.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name> 1-Typ-HGB-car@12:53:53</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>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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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>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> <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>HGB A1C (LOINC:4548-4)</item_name> <item_key>\\i2b2_DEMO\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:4548-4\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ Hgb a1c (LOINC:4548-4)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>GT</value_operator> <value_constraint>7.5</value_constraint> <value_unit_of_measure>%</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <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>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>cardiac infarction</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I20-I25) Isch~798s\(I21) St eleva~i3yh\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Ischemic heart diseases (i20-i25) \ cardiac infarction</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients aged 18-34, 35-44, 45-54, or 55+ years old who have been diagnosed with Type 2 diabetes mellitus and have a HbA1c level greater than or equal to 7.5% at any time, excluding those with a history of cardiac infarction.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>mild -High -Statu@10:10:41</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>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>High school grad.</item_name> <item_key>\\BIRN\BIRN\oasis\Demographics\Education\High school grad.\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Demographics \ Education \ High school grad.</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>Status 3</item_name> <item_key>\\BIRN\BIRN\oasis\Demographics\Socioeconomic Status\Status 3\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Demographics \ Socioeconomic Status \ Status 3</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of mild dementia, who have completed high school, and have a socioeconomic status of 3.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>21 ye-Femal-Admit@13:53:55</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>4</hlevel> <item_name>21 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\21 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old \ 21 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>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>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>Chronic Rheumatic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Chronic Rheumatic heart disease (393-398)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Chronic Rheumatic heart disease</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> </ns3:query_definition> ```

I want to find all female patients aged 21 years old who have been diagnosed with Chronic Rheumatic heart disease 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>Striking agains@16:31:00</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>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 patients who have been diagnosed with injuries resulting from striking against or being struck by sports equipment, specifically within the context of external causes of morbidity, accidents, and exposure to inanimate mechanical forces.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Princip-Seconda@14:35:27</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>1</hlevel> <item_name>Diseases of the musculoskeletal system and connective tissue (m00-m99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(M00-M99) Dise~6mvn\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the musculoskeletal system and connective tissue (m00-m99)</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key> <applied_path>\Diagnoses\(M00-M99) Dise~6mvn\%</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>Dentofacial anomalies [including malocclusion] and other disorders of jaw (m26-m27)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(M00-M99) Dise~6mvn\(M26-M27) Dent~7r9g\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the musculoskeletal system and connective tissue (m00-m99) \ Dentofacial anomalies [including malocclusion] and other disorders of jaw (m26-m27)</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Secondary Diagnosis\</modifier_key> <applied_path>\Diagnoses\(M00-M99) Dise~6mvn\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a principal diagnosis of diseases of the musculoskeletal system and connective tissue (ICD codes M0-M9) and a secondary diagnosis of dentofacial anomalies [including malocclusion] and other disorders of the jaw (ICD codes M26-M27).

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Oasis@16:56:01</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>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> </ns3:query_definition> ```

I want to find any patient encounter that includes the term "Oasis" in the BIRN (Biomedical Informatics Research Network) section of the medical record. The query will return results with 1000% accuracy, and the term "Oasis" will not be considered as a synonym for any other term.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Demographics@16:19:54</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>2</hlevel> <item_name>Demographics</item_name> <item_key>\\BIRN\BIRN\oasis\Demographics\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Demographics</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find all patients with demographic information recorded in the OASIS Demographics section.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>&gt;= -Hyp-CHO-Ant@17:06:43</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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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>2</hlevel> <item_name>Hypertensive diseases (i10-i15)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15)</tooltip> <class>ENC</class> <constrain_by_date> <date_from>2020-01-01T00:00:00.000-05:00</date_from> <date_to>2020-05-31T00:00:00.000-05:00</date_to> </constrain_by_date> <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>CHOLESTEROL (LOINC:2093-3)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\LOINC:2093-3\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL) \ Cholesterol (LOINC:2093-3)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>GT</value_operator> <value_constraint>200</value_constraint> <value_unit_of_measure>mg/dl</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <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>1</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> </ns3:query_definition> ```

I want to find patients who are 65 years or older, have been diagnosed with hypertensive diseases (ICD-10 codes I10-I15) within the last 5 months, have a cholesterol level greater than or equal to 20 mg/dl, and are not currently taking antihyperlipidemic agents.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>21 ye-Femal-Admit@13:54:07</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>4</hlevel> <item_name>21 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\21 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old \ 21 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>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>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>Chronic Rheumatic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Chronic Rheumatic heart disease (393-398)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Chronic Rheumatic heart disease</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>3</hlevel> <item_name>Chronic Rheumatic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Chronic Rheumatic heart disease (393-398)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Chronic Rheumatic heart 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> </ns3:query_definition> ```

I want to find a 21-year-old female patient with a diagnosis of Chronic Rheumatic heart disease, either as an Admit Diagnosis or Principal Diagnosis, 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>(t) Arterial vasculAdmit DiagnosisPrincipal DiagnSecondary Diagn@14:15:58</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> <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>FIRST</aggregate_operator> </second_query> </subquery_constraint> <subquery_constraint> <first_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 3</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> </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>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>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> </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>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>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> </subquery> <subquery> <query_id>Event 3</query_id> <query_type>EVENT</query_type> <query_name>Event 3</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>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>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> </subquery> </ns4:query_definition> ```

I want to find patients who have an encounter with an arterial vascular disease diagnosis (ICD-9-CM codes 4440-4447) as the principal, secondary, or admit diagnosis in their medical record, where the first diagnosis of arterial vascular disease occurred before the first diagnosis of a circulatory system disease (ICD-9-CM codes 390-459), and the first diagnosis of a circulatory system disease occurred before the first diagnosis of any other condition.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Insulin@21:00:42</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>4</hlevel> <item_name>Insulin</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME148) hormones\(LME150) antidiabetic agents\(LME152) insulin\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ hormones \ antidiabetic agents \ insulin</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find all instances where the medication 'Insulin' was prescribed or administered to patients, regardless of the timing, and with a specificity scale of 0 and an accuracy scale of 100. This query will search for the concept 'Insulin' under the 'Medications' category, specifically within the 'Hormones' subcategory and the 'Antidiabetic Agents' sub-subcategory. The query has been named 'Insulin@21:00:42'.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Oasis@16:56:26</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>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> </ns3:query_definition> ```

I want to find any occurrence of the term "Oasis" in the BIRN ontology within the Encounter section of the data.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Demographics@16:19:14</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>Demographics</item_name> <item_key>\\BIRN\BIRN\oasis\Demographics\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Demographics</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find a query that will retrieve demographic information from the Oasis module in the BIRN database, with a specificity scale of 0, accuracy scale of 100, and a single occurrence requirement, with no inversion applied, and the timing set to "ANY". The query will be named "Demographics@16:19:14" and will be part of a panel with panel number 1 and timing 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>Admit Diagnosis@07:24:40</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>2</hlevel> <item_name>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory 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\Respiratory system (460-519)\%</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 respiratory system that were recorded as the admit diagnosis, within any time frame, with a specificity scale of 0 and an accuracy scale of 100, 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>Female@09:04:55</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> <item> <hlevel>5</hlevel> <item_name>Malignant neoplasm of brain</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(C00-D49) Neop~k3n8\(C00-C96) Mali~yqqr\(C00-C75) Mali~lbm0\(C69-C72) Mali~8lvo\(C71) Malignan~7z3n\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neoplasms (c00-d49) \ Malignant neoplasms (c00-c96) \ Malignant neoplasms, stated or presumed to be primary (of specified sites), and certain specified histologies, except neuroendocrine, and of lymphoid, hematopoietic and related tissue (c00-c75) \ Malignant neoplasms of eye, brain and other parts of central nervous system (c69-c72) \ Malignant neoplasm of brain</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Temozolomide</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME55) antineoplastics\(LME56) alkylating agents\temozolomide\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antineoplastics \ alkylating agents \ temozolomide</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>PLT ESTIMATE (LOINC:26515-7)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB57) Complete Blood Count\PLT\LOINC:26515-7\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Complete Blood Count \ PLT (Group:PLT) \ PLT ESTIMATE (LOINC:26515-7)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>50000</value_constraint> <value_unit_of_measure>k/ul</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with a diagnosis of malignant neoplasm of the brain who have been prescribed temozolomide and have a platelet count estimated value less than 5000 k/ul.

```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> 0-9 y-cardiac@09:09:44</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>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> <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> <item> <hlevel>5</hlevel> <item_name>HGB A1C (LOINC:4548-4)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:4548-4\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ Hgb a1c (LOINC:4548-4)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>GT</value_operator> <value_constraint>7.5</value_constraint> <value_unit_of_measure>%</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <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>3</hlevel> <item_name>cardiac infarction</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I20-I25) Isch~798s\(I21) St eleva~i3yh\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Ischemic heart diseases (i20-i25) \ cardiac infarction</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who are between the ages of 0-9 or 10-17 years old, have Type 2 diabetes mellitus, have an HGB A1C level greater than or equal to 7.5%, and do not have a history of cardiac infarction.

```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@15:24:02</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>2</hlevel> <item_name>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system</tooltip> <class>ENC</class> <constrain_by_date> <date_from>1979-12-01T00:00:00.000-05:00</date_from> </constrain_by_date> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all principal diagnoses related to the respiratory system (ICD codes 460-519) that have occurred at any time in the patient's medical record, with an accuracy scale of 1000% and a specificity scale of 0, and display the results in a panel labeled "Principal Diagn@15:24:02" with no synonyms 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>Family history@13:29:19</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>Family history</item_name> <item_key>\\i2b2_REP\i2b2\Reports\Medical History\Family History\</item_key> <item_icon>LA</item_icon> <tooltip>i2b2 \ Reports \ Medical History \ Family History</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LIKE[contains]</value_operator> <value_constraint>asthma</value_constraint> <value_type>TEXT</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all medical history reports that contain the term "asthma" within the i2b2 Reports section under the Medical History category.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Admit-Secon-Princ@13:41:06</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>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> <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>Hernia of abdominal cavity</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Hernia of abdominal cavity (550-553)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Hernia of abdominal cavity</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\Digestive system (520-579)\%</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>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> </ns3:query_definition> ```

I want to find patients who have a primary diagnosis of endocrine disorders (ICD codes 240-259) and a secondary diagnosis of hernia of the abdominal cavity (ICD codes 50-53) at any time during their admission.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>21 ye-Femal-Admit@13:54:15</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>21 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\21 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old \ 21 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>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>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>Chronic Rheumatic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Chronic Rheumatic heart disease (393-398)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Chronic Rheumatic heart disease</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>3</hlevel> <item_name>Chronic Rheumatic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Chronic Rheumatic heart disease (393-398)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Chronic Rheumatic heart 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> </ns3:query_definition> ```

I want to find a 21-year-old female patient with a diagnosis of Chronic Rheumatic Heart Disease (393-398) as either an Admit Diagnosis or Principal Diagnosis, within any time frame.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabetes mellit@11:22:04</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>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> </ns3:query_definition> ```

I want to find all instances of "Diabetes mellitus" in the Endocrine disorders section under the category of Other endocrine gland diseases, with a specificity scale of 0 and a panel accuracy scale of 100, within any time frame, using the i2b2 query builder.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>21 ye-Femal-Admit@13:56:18</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>21 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\21 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old \ 21 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>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>3</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>3</hlevel> <item_name>Chronic Rheumatic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Chronic Rheumatic heart disease (393-398)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Chronic Rheumatic heart disease</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>3</hlevel> <item_name>Chronic Rheumatic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Chronic Rheumatic heart disease (393-398)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Chronic Rheumatic heart 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> </ns3:query_definition> ```

I want to find a 21-year-old female patient with no chronic rheumatic heart disease diagnosis (either as an admission or principal diagnosis) within the specified age and gender demographics.

```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@07:26:27</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>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> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Admit Diagnosis\</modifier_key> <applied_path>\Diagnoses\(J00-J99) Dise~45pn\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients admitted with a diagnosis of diseases related to the respiratory system, specifically those categorized under ICD-10 codes J00-J9, and have their diagnosis recorded at any time during their stay.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>21 ye-Femal-Admit@13:56:25</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>21 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\21 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old \ 21 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>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>3</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>3</hlevel> <item_name>Chronic Rheumatic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Chronic Rheumatic heart disease (393-398)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Chronic Rheumatic heart disease</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>3</hlevel> <item_name>Chronic Rheumatic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Chronic Rheumatic heart disease (393-398)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Chronic Rheumatic heart 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> </ns3:query_definition> ```

I want to find a 21-year-old female patient with a diagnosis of Chronic Rheumatic heart disease, who was admitted to the hospital at 13:56:25, excluding any other diagnoses related to Chronic Rheumatic heart disease.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>21 ye-Femal-Admit@13:57:44</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>21 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\21 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old \ 21 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>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>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>Chronic Rheumatic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Chronic Rheumatic heart disease (393-398)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Chronic Rheumatic heart disease</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>3</hlevel> <item_name>Chronic Rheumatic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Chronic Rheumatic heart disease (393-398)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Chronic Rheumatic heart 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> <item> <hlevel>3</hlevel> <item_name>Other forms of heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Other forms of heart disease (420-429)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Other forms of heart disease</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> </ns3:query_definition> ```

I want to find a 21-year-old female patient with a diagnosis of Chronic Rheumatic heart disease, either as an Admit Diagnosis, Principal Diagnosis, or Secondary Diagnosis, 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>Rx Sig@07:27:28</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>1</hlevel> <item_name>Medications</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\</item_key> <item_icon>FA</item_icon> <tooltip>Medications</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Rx Sig</modifier_name> <modifier_key>\\i2b2_MEDS\Medication\RxSig\</modifier_key> <applied_path>\i2b2\Medications\%</applied_path> <constrain_by_value> <value_operator>LIKE[contains]</value_operator> <value_constraint>Cisplatin</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 medication records that contain the term "Cisplatin" in the Rx Sig field, with a specificity scale of 0, panel timing set to ANY, and a panel accuracy scale of 100. The query will be named "Rx Sig@07:27:28" and will include a single panel with the item "Medications" and the class "ENC". The applied path will be "i2b2\Medications\%" and the constrain by modifier will be "Rx Sig" with a value operator of "LIKE[contains]".

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Insulin@15:34:54</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>4</hlevel> <item_name>Insulin</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME148) hormones\(LME150) antidiabetic agents\(LME152) insulin\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ hormones \ antidiabetic agents \ insulin</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find all instances of insulin medication usage, regardless of the timing, with a high accuracy level, in a single panel, and with a specificity scale of 0 and inverted status of 0, using the i2b2 query builder.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>very mi-High sc@17:10:27</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>4</hlevel> <item_name>very mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\very mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ very 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>High school grad.</item_name> <item_key>\\BIRN\BIRN\oasis\Demographics\Education\High school grad.\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Demographics \ Education \ High school grad.</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a very mild dementia diagnosis and a high school graduate education level.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Cardiac-ICD9 (I@23:41:18</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>Cardiac dysrhythmias</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Other forms of heart disease (420-429)\(427) Cardiac dysrhythmias\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Other forms of heart disease \ Cardiac dysrhythmias</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>1</hlevel> <item_name>Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism (d50-d89)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(D50-D89) Dise~nx0c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism (d50-d89)</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>ICD9 (Inpatient)</item_name> <item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\</item_key> <item_icon>FA</item_icon> <tooltip>Procedures \ ICD9 (Inpatient)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find diagnoses related to cardiac dysrhythmias (ICD9 code 427) and diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism (ICD9 codes D50-D89) among inpatients using the ICD9 coding system.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Principal Diagn@20:14:46</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>1</hlevel> <item_name>Certain infectious and parasitic diseases (a00-b99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99)</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key> <applied_path>\Diagnoses\(A00-B99) Cert~ugmm\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find all instances where the principal diagnosis is a code from the ICD-9 or ICD-10 classification system that falls within the range of certain infectious and parasitic diseases (A0-B9) in the specified data set. The specificity scale is set to 0, meaning the search is not restricted to a specific time frame, and the panel accuracy scale is set to 100, indicating a high level of accuracy is desired. This query will return all diagnoses within the specified range, regardless of the time frame, with a high degree of accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Principal Diagn@20:15:20</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>Diseases of the digestive system (k00-k94)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94)</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> </ns3:query_definition> ```

I want to find all encounters where the principal diagnosis is related to diseases of the digestive system (ICD-10 codes K00-K94) with any timing and 100% 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>Female@11:26:14</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>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> </ns4:query_definition> ```

I want to find all female patients with any encounter time.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Essential (prim@20:27:53</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>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a primary diagnosis of essential (primary) hypertension (ICD10-ICD9 codes I10-I15) and those with diabetes mellitus (ICD10-ICD9 codes E08-E13) with any timing and 100% accuracy scale, using the ICD10_ICD9 Diagnoses and Endocrine, Nutritional and Metabolic Diseases categories.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Essential (prim@20:28:37</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>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension (ICD10-ICD9 code I10) and those with diabetes mellitus (ICD10-ICD9 code E08-E13) in the i2b2 database using the query builder. The query will search for these specific conditions within any time frame and with a high level of accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@20:36:42</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>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients who have been diagnosed with Diabetes mellitus (e08-e13) and Essential (primary) hypertension (I10) using the i2b2 query builder.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Principal Diagn@20:15:35</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>1</hlevel> <item_name>Diseases of the digestive system (k00-k94)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94)</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> </ns3:query_definition> ```

I want to find all encounters where the principal diagnosis is related to diseases of the digestive system (ICD10 codes K00-K94), with a specificity scale of 0, any timing, and an accuracy scale of 100.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@20:31:15</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of diabetes mellitus (e08-e13) and essential (primary) hypertension (i10) in the i2b2 database using the query builder.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@20:32:29</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>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of Diabetes mellitus (e08-e13) and Essential (primary) hypertension (I10) in the ICD10_ICD9 Diagnoses section of the database, with no specific time constraints, and the highest level of accuracy (1000%) for both panels. The query will include one item for each panel, and the items are not synonyms.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@20:33:15</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of diabetes mellitus (ICD10 codes E08-E13) and essential (primary) hypertension (ICD10 code I10) with any timing and 100% accuracy scale for each condition.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Abnormal findin@04:54:03</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>3</hlevel> <item_name>Abnormal findings on neonatal screening</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(P00-P96) Cert~6976\(P09-P09) Abno~s321\(P09) Abnormal~jrrd\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain conditions originating in the perinatal period (p00-p96) \ Abnormal findings on neonatal screening (p09) \ Abnormal findings on neonatal screening</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with abnormal findings on neonatal screening within the ICD-10 and ICD-9 diagnosis codes (P00-P96) specifically related to certain conditions originating in the perinatal period (P09), with a high specificity and accuracy level, and display the results in a single panel.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@20:39:35</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>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of diabetes mellitus (ICD10 code E08-E13) and essential (primary) hypertension (ICD9 code I10) in the ICD10_ICD9 Endocrine, nutritional and metabolic diseases (e0-e89) and Diseases of the circulatory system (i0-i9) categories, respectively, with no specific timing or accuracy scale, and no inversion applied.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@20:44:32</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>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of Diabetes mellitus (e08-e13) and Essential (primary) hypertension (i10) within the ICD10_ICD9 codes (Endocrine, nutritional and metabolic diseases (e0-e89) and Diseases of the circulatory system (i0-i9) respectively) with no specific timeframe or accuracy scale applied.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@20:50:17</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients who have been diagnosed with Diabetes mellitus (e08-e13) and Essential (primary) hypertension (i10) within any time frame, with a specificity scale of 0 and a panel accuracy scale of 100, and the query name is Diabete-Essenti@20:50:17. The two panels are related to endocrine, nutritional, and metabolic diseases, and circulatory system diseases, respectively.

```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-Medical@17:44:55</query_name> <query_timing>SAMEVISIT</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>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>SAMEVISIT</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>Medical history</item_name> <item_key>\\i2b2_REP\i2b2\Reports\Medical History\</item_key> <item_icon>FA</item_icon> <tooltip>i2b2 \ Reports \ Medical History</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find encounters where the patient's medical history is recorded in the Oasis section of the BIRN database during the same visit.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Circulatory sys@21:36:19</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>0</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> <item_is_synonym>false</item_is_synonym> </item> <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> </ns3:query_definition> ```

I want to find all diagnoses related to the circulatory system, including hypertensive diseases, within the specified time frame of ANY.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@20:40:41</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of Diabetes mellitus (e08-e13) and Essential (primary) hypertension (i10) in the ICD10_ICD9 diagnosis category, with any timing, 100% accuracy scale, and no inversion. The specificity scale is set to 0.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@20:50:52</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients who have been diagnosed with Diabetes mellitus (ICD10 codes E08-E13) and Essential (primary) hypertension (ICD9 code I10) 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>Malignant neopl@07:47:18</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>2</hlevel> <item_name>Malignant neoplasms (c00-c96)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(C00-D49) Neop~k3n8\(C00-C96) Mali~yqqr\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neoplasms (c00-d49) \ Malignant neoplasms (c00-c96)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of malignant neoplasms (cancerous tumors) as defined by ICD-10 and ICD-9 diagnosis codes C0-C96 in the 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>Arterial vascul@14:16:13</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>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> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of arterial vascular disease within the Circulatory system category in the i2b2 data repository.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@20:52:10</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>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of Diabetes mellitus (ICD10 codes E08-E13) and Essential (primary) hypertension (ICD10 code I10) within the Endocrine, nutritional and metabolic diseases (e0-e89) and Diseases of the circulatory system (i0-i9) categories, respectively, with no specific time frame or accuracy constraints.

```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>moderat-Patient@10:46:06</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>0</hlevel> <item_name>(PrevQuery)moderate dement@09:18:18</item_name> <item_key>masterid:4012</item_key> <tooltip>moderate dement@09:18:18</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>1</hlevel> <item_name>Medications</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\</item_key> <item_icon>FA</item_icon> <tooltip>Medications</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Patient Instructions</modifier_name> <modifier_key>\\i2b2_MEDS\Medication\Instructions\</modifier_key> <applied_path>\i2b2\Medications\%</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>1</hlevel> <item_name>Medications</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\</item_key> <item_icon>FA</item_icon> <tooltip>Medications</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Patient Instructions</modifier_name> <modifier_key>\\i2b2_MEDS\Medication\Instructions\</modifier_key> <applied_path>\i2b2\Medications\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have been diagnosed with moderate dementia (as indicated by the term "moderate dement@09:18:18") and their medication records, specifically their patient instructions related to medications.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Essenti-Diabete@21:05:43</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus (e08-e13) within the ICD10_ICD9 code range (I00-I9) for diseases of the circulatory system and (E00-E89) for endocrine, nutritional, and metabolic diseases, respectively. The specificity scale is set to 0, and the accuracy scale for both panels is 100, indicating a high level of accuracy. The query timing is set to ANY, meaning it can be applied at any time. The panel number is 1 for essential (primary) hypertension and 2 for diabetes mellitus. The hlevel for essential (primary) hypertension is 3, while the hlevel for diabetes mellitus is 2. The tooltip provides a more detailed description of the query.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Essenti-Diabete@21:08:03</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>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension (I10) and diabetes mellitus (E08-E13) with any timing and 100% accuracy, without inverting the panel, and using the ICD10_ICD9 coding system.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Essenti-Diabete@21:08:35</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>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients who have been diagnosed with Essential (primary) hypertension and Diabetes mellitus (e08-e13) at any time in their medical history, with a specificity scale of 0 and an accuracy scale of 100 for each panel. The query is named "Essenti-Diabete@21:08:35" and the panels are not inverted.

```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>Asthma@14:52:05</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>4</hlevel> <item_name>Asthma</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Chronic obstructive diseases (490-496)\(493) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Chronic obstructive diseases \ Asthma</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 asthma, within the Respiratory system, Chronic obstructive diseases category, using the specific ICD-10 code (493) for Asthma, with a high level of accuracy and no time restrictions on when the diagnosis was made.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Circulatory sys@13:33:51</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> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find all diagnoses related to the circulatory system (ICD codes 390-459) with a specificity scale of 0 and a high level of accuracy (100), for any time period, in a single panel of the query builder.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Essenti-Diabete@21:07:31</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>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of Essential (primary) hypertension and Diabetes mellitus (e08-e13) with any timing and 100% accuracy, using the ICD-10 and ICD-9 coding system for diagnoses of diseases of the circulatory system and endocrine, nutritional, and metabolic diseases, respectively.

```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>moderat-Patient@10:47:11</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>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)moderate dement@09:18:18</item_name> <item_key>masterid:4012</item_key> <tooltip>moderate dement@09:18:18</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>1</hlevel> <item_name>Medications</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\</item_key> <item_icon>FA</item_icon> <tooltip>Medications</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Patient Instructions</modifier_name> <modifier_key>\\i2b2_MEDS\Medication\Instructions\</modifier_key> <applied_path>\i2b2\Medications\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Primary-DiagnosisExact@09:50:44</item_name> <item_key>masterid:2853</item_key> <tooltip>Primary-DiagnosisExact@09:50:44</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>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Medications</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\</item_key> <item_icon>FA</item_icon> <tooltip>Medications</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Patient Instructions</modifier_name> <modifier_key>\\i2b2_MEDS\Medication\Instructions\</modifier_key> <applied_path>\i2b2\Medications\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been diagnosed with moderate dementia and have a primary diagnosis of a specific condition, along with their medications and patient instructions. The query will search for patients who have been diagnosed with moderate dementia at any time (ANY timing) with a specificity scale of 0, meaning it will return all patients with this diagnosis regardless of the certainty of the diagnosis. It will also search for any medications that the patients have taken, with an accuracy scale of 10, meaning the results will be very precise. The query will also consider the patient instructions associated with the medications.

```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@10:55:18</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> 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> </panel> </ns4:query_definition> ```

I want to find all patients between the ages of 18 and 34 years old, with any timing, and 1000% accuracy, within the Demographics panel, 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>Arteria-Female@14:16:29</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>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> <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>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> </ns4:query_definition> ```

I want to find all female patients with a diagnosis of arterial vascular disease.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Essenti-Diabete@21:09:36</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>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension (ICD10-ICD9 code I10) and diabetes mellitus (ICD10-ICD9 code E08-E13) in any time frame, with a specificity scale of 0, and an accuracy scale of 100 for each panel. The query will be named "Essenti-Diabete@21:09:36" and will include two panels, one for each condition, with a total of one item occurrence for each panel. The query will not be inverted, and the class will be set to ENC (Encounter).

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Admit-Princ-Inien@20:13:54</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>Anencephalus and similar anomalies</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\(740) Anencephalus and similar an~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital anomalies \ Anencephalus and similar anomalies</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\Congenital anomalies (740-759)\%</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>Anencephalus and similar anomalies</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\(740) Anencephalus and similar an~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital anomalies \ Anencephalus and similar anomalies</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\Congenital anomalies (740-759)\%</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>4</hlevel> <item_name>Iniencephaly</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\(740) Anencephalus and similar an~\(740-2) Iniencephaly\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital anomalies \ Anencephalus and similar anomalies \ Iniencephaly</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of anencephaly or similar anomalies, specifically those who have been admitted with either an admission diagnosis or a principal diagnosis of anencephaly or iniencephaly, as classified under the Congenital anomalies (740-759) category in the Diagnoses section of the i2b2 database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Admit-Princ-Inien@20:14:17</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>Anencephalus and similar anomalies</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\(740) Anencephalus and similar an~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital anomalies \ Anencephalus and similar anomalies</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\Congenital anomalies (740-759)\%</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>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Anencephalus and similar anomalies</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\(740) Anencephalus and similar an~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital anomalies \ Anencephalus and similar anomalies</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\Congenital anomalies (740-759)\%</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>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Iniencephaly</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\(740) Anencephalus and similar an~\(740-2) Iniencephaly\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital anomalies \ Anencephalus and similar anomalies \ Iniencephaly</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find all patients with a diagnosis of anencephaly or similar anomalies as either an admission diagnosis or principal diagnosis, excluding those with a principal diagnosis of iniencephaly.

```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@19:45:20</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>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> <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 patients with age between 15 and 84 years old, who have been diagnosed with acute pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name> 10-17-Male@08:43:12</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> 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>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> </ns3:query_definition> ```

I want to find all male patients aged 10-17 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>Consultations@13:38:49</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>Consultations</item_name> <item_key>\\i2b2_REP\i2b2\Reports\Visit Notes\Consultations\</item_key> <item_icon>LA</item_icon> <tooltip>\ i2b2 \ Reports \ Visit Notes \ Consultations \</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>CONTAINS</value_operator> <value_constraint>hypertension</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 all consultations in the i2b2 Reports Visit Notes section that contain the word "hypertension" in the large text field, with any specificity scale and timing, and with a panel accuracy scale of 100%.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Essenti-Diabete@21:15:21</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of Essential (primary) hypertension and Diabetes mellitus (e08-e13) in their medical records. This query will search for patients with both conditions and will have a high level of accuracy, with no specific timing restrictions for the diagnoses.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Length of stay@21:20:15</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>Length of stay</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Length of stay\</item_key> <item_icon>FA</item_icon> <tooltip>Visit Details \ Length of stay</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find the length of stay for outpatient visits in the i2b2 database using the query builder with specificity scale set to 0 and accuracy scale set to 100, covering any time period.

```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 with @19:50:53</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>5</hlevel> <item_name>Furniture with subsequent fall</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\zz E-codes\Other accidents (E916-E928)\(E917) Striking against or struck~\(E917-7) Furniture with subsequent~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ E-codes \ Other accidents \ Striking against or struck accidentally by objects or persons \ Furniture with subsequent fall</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find diagnoses related to striking against or being struck by furniture with subsequent fall using the ICD-10-CM E-codes E917.7.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@23:24:49</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>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients who have been diagnosed with Diabetes mellitus (e08-e13) and Essential (primary) hypertension (I10) in any time frame, with a high level of specificity, and display the results in two separate panels. The first panel will focus on endocrine, nutritional, and metabolic diseases (e0-e89), specifically Diabetes mellitus (e08-e13), while the second panel will focus on diseases of the circulatory system (i0-i9), specifically Essential (primary) hypertension (I10). The query will be highly accurate, and both conditions will be treated as distinct diagnoses, not synonyms of each other.

```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>Primary-Diagnos@10:52:49</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>0</hlevel> <item_name>(PrevQuery)Primary-DiagnosisExact@09:50:44</item_name> <item_key>masterid:2853</item_key> <tooltip>Primary-DiagnosisExact@09:50:44</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a primary diagnosis of a specific condition at a particular time (10:52:49) using the "Primary-DiagnosisExact@09:50:4" query with 100% accuracy and no specificity scaling, comparing it to the results of a previous query "Primary-DiagnosisExact@09:50:4".

```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@10:54:50</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> <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> </ns4:query_definition> ```

I want to find patients who are 45-54 years old or 10-17 years old with any timing, having a specificity scale of 0, and with a panel accuracy scale of 100, where the panel has one item and the invert option is set to 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> 0-9 years old@11:07:24</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>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>1</hlevel> <item_name>Diseases of the nervous system (g00-g99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients aged 0-9 years old with diagnoses related to diseases of the nervous system (ICD-9 codes G0-G9) in the i2b2 database, with any timing and 1000% accuracy, excluding synonyms.

```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>Vital-Gende-Incom@21:15:37</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>2</hlevel> <item_name>Vital Status</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Vital Status</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> <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>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> </ns4:query_definition> ```

I want to find the vital status, gender, and income information from the i2b2 Demographics module for any patient, with a high level of specificity and accuracy, without inverting the results.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@23:26:16</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>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients who have been diagnosed with Diabetes mellitus (e08-e13) and Essential (primary) hypertension (I10) within the specified time frame.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@23:30:10</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>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of Diabetes mellitus (ICD10 code E08-E13) and Essential (primary) hypertension (ICD10 code I10) in the Endocrine, nutritional and metabolic diseases and Diseases of the circulatory system categories, respectively, with any timing and 1000% accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Essenti-Diabete@23:36:45</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension (ICD10-ICD9 code: I10) and diabetes mellitus (ICD10-ICD9 code: E08-E13) with no specific timing or accuracy requirements.

```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@18:14:55</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> 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> </panel> </ns4:query_definition> ```

I want to find patients aged 18-34 years old in the demographics category with a specificity scale of 0, panel timing of any, and panel accuracy scale of 100. This query is inverted, and it has a total of 1 item occurrence with a hlevel of 3. The item name is "18-34 years old" and the item key is "i2b2_DEMO\i2b2\Demographics\Age\18-34 years old". The tooltip for this item is "Demographics \ Age \ 18-34 years old" and the class is ENC. The item is not a synonym.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Person_#1000000@21:23:21</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>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3473</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find a patient with a master ID of 3473, with any timing, specificity scale of 0, panel accuracy scale of 100, and panel number 1, and the query is not inverted. The panel is named Person_#1000000@21:23:21 and contains a single item named Person_#1000000045, which is not a synonym.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@23:27:07</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients who have been diagnosed with Diabetes mellitus (ICD10 code E08-E13) and Essential (primary) hypertension (ICD9 code I10) at any time in their medical history, with 1000% accuracy for each condition.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@23:27:58</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients who have been diagnosed with Diabetes mellitus (e08-e13) and Essential (primary) hypertension (I10) in any time frame, with a specificity scale of 0 and an accuracy scale of 100 for each panel, without inverting the results.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@23:28:52</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients who have been diagnosed with Diabetes mellitus (ICD10 code E08-E13) and Essential (primary) hypertension (ICD9 code I10) in any time frame, with a specificity scale of 0 and an accuracy scale of 100. The query is named "Diabete-Essenti@23:28:52" and has two panels, each with one item. The first panel includes Diabetes mellitus, and the second panel includes Essential (primary) hypertension. The query is not a synonym, and the class is ENC.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabe-Essen-Perso@23:30:52</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</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>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3490</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find individuals with a diagnosis of diabetes mellitus (ICD codes E08-E13) and essential (primary) hypertension (ICD codes I10) who are also associated with Person_#100000045 in the database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabete-Essenti@23:33:44</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>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of diabetes mellitus (ICD10 codes E08-E13) and essential (primary) hypertension (ICD10 code I10) in any time frame, with a specificity scale of 0 and an accuracy scale of 100 for each panel. The query should include two panels: one for diabetes mellitus and one for essential hypertension, with each panel having a total of one item occurrence. The query is named "Diabete-Essenti@23:33:4".

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Essen-Diabe-Perso@23:38:00</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3490</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension (I10) and diabetes mellitus (E08-E13) for a specific person with master ID 340.

```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@10:55:41</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>Unknown</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Unknown\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Gender \ not recorded</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who are 18-34 years old and have an unknown gender. This query will search for individuals within the specified age range and whose gender information is not recorded in the 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> 65 ye-Female@13:18:34</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>4</hlevel> <item_name> 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\65\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 years old \ 65 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>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> </ns4:query_definition> ```

I want to find all female patients who are 65 years old or older, with no specific time constraints, and I want the query to be as accurate as possible.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Essen-Diabe-Outpa@23:38:34</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</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>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find outpatient visits for patients with a diagnosis of essential (primary) hypertension and diabetes mellitus (e08-e13) with a high level of specificity (100) and any timing.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Male@15:00:40</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>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> <constrain_by_date> <date_from>1979-12-01T00:00:00.000-05:00</date_from> <date_to>2020-07-06T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find all male patients with demographic information recorded between December 1, 1979 and July 6, 2020, with no specificity scale applied and any query timing, and with a panel accuracy scale of 100, and the panel is not inverted, and there is only one item occurrence, specifically looking for male gender in the demographics category.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Essential (prim@21:03:29</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension in the ICD10-ICD9 Diagnoses section under the category of diseases of the circulatory system, specifically within the hypertensive diseases subcategory.

```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>ELECTROPHORESIS@11:56:49</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>5</hlevel> <item_name>ELECTROPHORESIS (LOINC:13515-2)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB58) Hemoglobin Electrophoresis\EP\LOINC:13515-2\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Hemoglobin Electrophoresis \ Citrate HGB Electro (Group:EP) \ Electrophoresis (LOINC:13515-2)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>IN</value_operator> <value_constraint>('CR')</value_constraint> <value_type>TEXT</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of the laboratory test 'Electrophoresis (LOINC:13515-2)' with any timing, 100% accuracy, and a specificity scale of 0, where the test result is constrained by the value 'CR' (Critical Result) and the test is categorized under 'Labtests' and 'Hematology' in the i2b2 database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Length of stay@@20:55:36</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>0</hlevel> <item_name>(PrevQuery)Length of stay@13:52:25</item_name> <item_key>masterid:3432</item_key> <tooltip>Length of stay@13:52:25</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find the total length of stay for patients in the hospital, considering any time frame, with a high level of accuracy, and the query should not be inverted. The result should be displayed on panel 1, and the specificity scale is set to 0.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Length of stay@@20:56:55</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>0</hlevel> <item_name>(PrevQuery)Length of stay@13:52:25</item_name> <item_key>masterid:3432</item_key> <tooltip>Length of stay@13:52:25</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find the total length of stay for patients within a specific time frame (ANY) with a high level of accuracy (1000%), considering only one occurrence of the item, and using the specificity scale of 0, with the query named "Length of stay@@20:56:55". The query will include a panel with one item named "Length of stay@13:52:25" and its associated key "masterid:3432", which is not a synonym.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>PATIENTSETFINIS@21:05:36</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>0</hlevel> <item_name>Patient Set for "Visit-Essen-Diabe-primaryhypertension@11:34:20"Patient setFINISHED</item_name> <item_key>patient_set_coll_id:6475</item_key> <tooltip>Patient Set for "Visit-Essen-Diabe-primaryhypertension@11:34:20"Patient setFINISHED</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients who have completed the "Visit-Essen-Diabe-primaryhypertension@1:34:20" patient set, which is a collection of data related to a study on primary hypertension in Essen, with any timing and 100% accuracy scale.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>PATIENT-PATIENT@21:07:56</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>0</hlevel> <item_name>Patient Set for "Visit-Essen-Diabe-primaryhypertension@11:34:20"Patient setFINISHED</item_name> <item_key>patient_set_coll_id:6475</item_key> <tooltip>Patient Set for "Visit-Essen-Diabe-primaryhypertension@11:34:20"Patient setFINISHED</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>Patient Set for "Visit-Essen-Diabe-primaryhypertension@11:34:20"Patient setFINISHED</item_name> <item_key>patient_set_coll_id:6475</item_key> <tooltip>Patient Set for "Visit-Essen-Diabe-primaryhypertension@11:34:20"Patient setFINISHED</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find a query that combines two panels with the following specifications: Panel 1 contains a patient set called "Visit-Essen-Diabe-primaryhypertension@1:34:20"Patient setFINISHED" with any timing and 100% accuracy scale, and Panel 2 also contains the same patient set with any timing and 100% accuracy scale. The query will return patients who meet the criteria of both panels.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Essenti-Diabete@21:11:51</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find patients who have been diagnosed with Essential (primary) hypertension (ICD10-ICD9 code I10) and Diabetes mellitus (ICD10-ICD9 code E08-E13) at any time in their medical history. The specificity scale is set to 0, indicating that any occurrence of these diagnoses will be included in the search. The panel accuracy scale is set to 100, meaning that the results will be highly accurate. Both panels have the same timing of ANY, and the query is named Essenti-Diabete@21:1:51.

```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@11:58:09</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>4</hlevel> <item_name>Chronic rheumatic pericarditis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Chronic Rheumatic heart disease (393-398)\(393) Chronic rheumatic pericardi~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Chronic Rheumatic heart disease \ Chronic rheumatic pericarditis</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 patients with a diagnosis of chronic rheumatic pericarditis as an admission diagnosis in the circulatory system category within the i2b2 data repository.