Spaces:
Sleeping
Sleeping
{ | |
"articles": [ | |
{ | |
"title": "Ingest and store medical data in Azure", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/example-scenario/data/medical-data-ingestion", | |
"description": "Create a data store to search and filter medical data by using Azure Data Factory pipelines with preingestion and postingestion validation pipelines.", | |
"tags": ["Azure", "Storage"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/data-factory-pipeline.png" | |
}, | |
{ | |
"title": "Medical data storage solutions", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/solution-ideas/articles/medical-data-storage", | |
"description": "Store healthcare data effectively and affordably with cloud-based solutions from Azure. Manage medical records with the highest level of built-in security.", | |
"tags": ["Azure", "Storage"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/medical-data-storage.png" | |
}, | |
{ | |
"title": "HIPAA and HITRUST compliant health data AI", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/solution-ideas/articles/security-compliance-blueprint-hipaa-hitrust-health-data-ai", | |
"description": "Store, manage, and analyze HIPAA-compliant and HITRUST-compliant health data and medical records with the highest level of built-in security.", | |
"tags": ["Azure", "Storage"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/security-compliance-blueprint-hipaa-hitrust-health-data-ai.png" | |
}, | |
{ | |
"title": "Azure Health Data Services architecture guide", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/guide/data/azure-health-data-services", | |
"description": "Deploy Azure Health Data Services on Azure to improve your ability to safeguard your organization's health data.", | |
"tags": ["Azure", "Analytics"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/azure-health-data-services.png" | |
}, | |
{ | |
"title": "Remote patient monitoring", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/example-scenario/digital-health/remote-patient-monitoring", | |
"description": "Provide a high level of preventative medical care with remote patient monitoring from Azure. Analyze large amounts of medical data in a secure environment.", | |
"tags": ["Azure", "AI + Machine Learning"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/remote-patient-monitoring.png" | |
}, | |
{ | |
"title": "Predict patient length of stay and flow", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/example-scenario/digital-health/predict-patient-length-of-stay", | |
"description": "Predict capacity and patient flow for your hospital or healthcare facility so that you can enhance the quality of care and improve operational efficiency.", | |
"tags": ["Azure", "AI + Machine Learning"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/predict-length-of-stay-thumbnail.png" | |
}, | |
{ | |
"title": "Predict hospital readmissions with traditional and automated machine learning techniques", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/example-scenario/ai/predict-hospital-readmissions-machine-learning", | |
"description": "Learn how healthcare and life science organizations can centralize data and use data science and machine learning to stay relevant to their customers.", | |
"tags": ["Azure", "AI + Machine Learning"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/predict-hospital-readmissions-machine-learning.png" | |
}, | |
{ | |
"title": "Implement risk prediction for surgeries", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/example-scenario/ai/risk-stratification-surgery", | |
"description": "Enable a risk stratification model for surgeries.", | |
"tags": ["Azure", "AI + Machine Learning"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/surgery-risk-models.png" | |
}, | |
{ | |
"title": "Donor-patient matching on Azure Machine Learning", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/example-scenario/machine-learning/donor-patient-cross-match", | |
"description": "Use Azure Machine Learning with the Ray-on-AML library to run and train donor-patient cross match models over FHIR and health data.", | |
"tags": ["Azure", "AI + Machine Learning"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/donor-patient-match.png" | |
}, | |
{ | |
"title": "Health data consortium on Azure", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/example-scenario/data/azure-health-data-consortium", | |
"description": "Build a data consortium to share healthcare data among partners. Collect data from multiple sources and share it with members in a secure and efficient way.", | |
"tags": ["Azure", "Databases"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/azure-health-data-consortium-architecture-thumbnail.png" | |
}, | |
{ | |
"title": "Consumer health portal on Azure", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/example-scenario/digital-health/health-portal", | |
"description": "Explore an Azure architecture for a consumer health portal in a digital health solution.", | |
"tags": ["Azure", "Web"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/consumer-health-portal-thumbnail.png" | |
}, | |
{ | |
"title": "Virtual health on Microsoft Cloud for Healthcare", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/example-scenario/mch-health/virtual-health-mch", | |
"description": "This article describes an architecture to develop a virtual health solution using Microsoft Cloud for Healthcare.", | |
"tags": ["Azure", "Web"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/virtual-health-solution.png" | |
}, | |
{ | |
"title": "Analyze call center recordings using text analytics for health and Azure OpenAI Service", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/example-scenario/healthcare/analyze-recordings-text-analytics-azure-openai", | |
"description": "Automate the transcription of healthcare-specific audio data and the process of serving that data to end users.", | |
"tags": ["Azure", "AI + Machine Learning"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/analyze-recordings-text-analytics-azure-openai-thumbnail.png" | |
}, | |
{ | |
"title": "Large-scale custom natural language processing (NLP)", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/ai-ml/idea/large-scale-custom-natural-language-processing", | |
"description": "Implement a custom natural language processing (NLP) solution in Azure. Use Spark NLP for tasks like topic and sentiment detection and analysis.", | |
"tags": ["Azure", "AI + Machine Learning"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/large-scale-custom-natural-language-processing-thumbnail.png" | |
}, | |
{ | |
"title": "Natural language processing technology", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing", | |
"description": "Choose a natural language processing service for sentiment analysis, topic and language detection, key phrase extraction, and document categorization.", | |
"tags": ["Azure", "AI + Machine Learning"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/natural-language-processing-thumbnail.png" | |
}, | |
{ | |
"title": "Analyze observational patient data by using OHDSI with the OMOP CDM", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/example-scenario/digital-health/patient-data-ohdsi-omop-cdm", | |
"description": "Deploy and operate a solution that uses OHDSI and the OMOP CDM to analyze observational patient data.", | |
"tags": ["Azure", "AI + Machine Learning"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/ohdsi-azure.png" | |
}, | |
{ | |
"title": "Secure research environment for regulated data", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/ai-ml/architecture/secure-compute-for-research", | |
"description": "Architecture on Azure that shows a regulated environment for researchers to access sensitive data while providing a higher level of control and data protection.", | |
"tags": ["Azure", "AI + Machine Learning"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/secure-research-env.svg" | |
}, | |
{ | |
"title": "Use Azure Kubernetes Service to host GPU-based workloads", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/reference-architectures/containers/aks-gpu/gpu-aks", | |
"description": "Learn how to use Azure Kubernetes Service to host GPU-based workloads, including machine learning, deep learning, and high-performance computing (HPC) workloads.", | |
"tags": ["Azure", "Containers"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/aks-baseline-architecture.png" | |
}, | |
{ | |
"title": "IoT Edge data storage and processing", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/solution-ideas/articles/data-storage-edge", | |
"description": "Use edge devices in your IoT implementation to provide quick response, high availability, and high bandwidth.", | |
"tags": ["Azure", "Internet of Things"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/data-storage-edge-thumbnail.png" | |
}, | |
{ | |
"title": "Generate embeddings", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/ai-ml/guide/rag/rag-generating-embeddings", | |
"description": "Learn about why your choice of embedding model can affect your vector search results and read guidance on how to choose an embedding model.", | |
"tags": ["Azure", "AI + Machine Learning"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/speech-text-thumb.png" | |
}, | |
{ | |
"title": "Use AI to forecast customer orders", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/solution-ideas/articles/next-order-forecasting", | |
"description": "Learn how to use AI and machine learning to forecast a customer's future order quantity for a specific SKU.", | |
"tags": ["Azure", "AI + Machine Learning"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/order-forecasting.png" | |
}, | |
{ | |
"title": "Integration architecture design", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/integration/integration-start-here", | |
"description": "Bring workflows together and automate processes by connecting apps, data, services, and devices. See resources with integration guidelines and recommendations.", | |
"tags": ["Azure", "Hybrid + multicloud"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/integration-basic-architecture-thumbnail.png" | |
}, | |
{ | |
"title": "Clinical insights with Microsoft Cloud for Healthcare", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/example-scenario/mch-health/medical-data-insights", | |
"description": "This article describes an architecture that uses Microsoft Cloud for Healthcare to gather insights from clinical and medical data.", | |
"tags": ["Industry Solutions", "Web"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/clinical-insights-solution-thumbnail.png" | |
}, | |
{ | |
"title": "Implement real-time anomaly detection for conveyor belts", | |
"href": "https://learn.microsoft.com/en-us/azure/architecture/example-scenario/ai/real-time-anomaly-detection-conveyor-belt", | |
"description": "View a reference architecture that describes how to enable real-time anomaly detection for conveyor belts.", | |
"tags": ["Azure", "AI + Machine Learning"], | |
"image": "https://learn.microsoft.com/en-us/azure/architecture/browse/thumbs/real-time-anomaly-detection.png" | |
} | |
] | |
} | |