> azure-health-data-services
Expert knowledge for Azure Health Data Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using FHIR, DICOM, MedTech, de-identification APIs, bulk data flows, or Synapse/ADF/Logic Apps integrations, and other Azure Health Data Services related development tasks. Not for Azure Health Bot (use azure-health-bot), Azure Data Factory (use azu
curl "https://skillshub.wtf/MicrosoftDocs/Agent-Skills/azure-health-data-services?format=md"Azure Health Data Services Skill
This skill provides expert guidance for Azure Health Data Services. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
How to Use This Skill
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L37-L48 | Diagnosing and fixing Azure Health Data Services issues: FHIR access tokens, events, $convert-data, identity providers, MedTech deployment/log errors, and known platform problems. |
| Best Practices | L49-L56 | Guidance on using customer-managed keys with FHIR/DICOM, optimizing FHIR performance, and safely running, monitoring, and managing FHIR reindex jobs. |
| Decision Making | L57-L62 | Guidance for planning and executing migrations from Azure API for FHIR to the FHIR service or broader Azure Health Data Services, including architecture, data, and compatibility considerations. |
| Architecture & Design Patterns | L63-L69 | Architectural patterns for FHIR, DICOM, and de-identification: disaster recovery setup, reliable anonymization services, DICOM + Data Lake integration, and digital pathology workflow design. |
| Limits & Quotas | L70-L75 | Autoscaling and performance tuning for Azure API for FHIR/FHIR service, plus supported languages and limits for the Azure Health de-identification service. |
| Security | L76-L114 | Configuring auth, RBAC, identity apps, tokens, encryption (CMK), network/Private Link, and compliance policies for securing FHIR, DICOM, and de-identification services in Azure Health Data Services. |
| Configuration | L115-L180 | Configuring FHIR, DICOM, and MedTech services: bulk ops, profiles/validation, CORS, logging/metrics, de-identification, events, security (Private Link), and standards (CARIN, Da Vinci). |
| Integrations & Coding Patterns | L181-L217 | Patterns and code samples for calling FHIR, DICOM, MedTech, and de-identification APIs, integrating with tools like Synapse, ADF, Logic Apps, AML, Power BI, and managing bulk data flows. |
| Deployment | L218-L233 | How to deploy and move FHIR, DICOM, MedTech, and de-identification services using portal, ARM, Bicep, CLI, PowerShell, and configure storage/backing resources |
Troubleshooting
Best Practices
| Topic | URL |
|---|---|
| Apply customer-managed key best practices to DICOM service | https://learn.microsoft.com/en-us/azure/healthcare-apis/dicom/customer-managed-keys |
| Best practices for CMK in FHIR service | https://learn.microsoft.com/en-us/azure/healthcare-apis/fhir/customer-managed-keys |
| Apply performance best practices for FHIR service | https://learn.microsoft.com/en-us/azure/healthcare-apis/fhir/fhir-best-practices |
| Run and manage FHIR reindex jobs safely | https://learn.microsoft.com/en-us/azure/healthcare-apis/fhir/how-to-run-a-reindex |
Decision Making
| Topic | URL |
|---|---|
| Plan migration from Azure API for FHIR to FHIR service | https://learn.microsoft.com/en-us/azure/healthcare-apis/fhir/migration-faq |
| Plan migration from Azure API for FHIR to Health Data Services | https://learn.microsoft.com/en-us/azure/healthcare-apis/fhir/migration-strategies |
Architecture & Design Patterns
| Topic | URL |
|---|---|
| Configure disaster recovery for Azure API for FHIR | https://learn.microsoft.com/en-us/azure/healthcare-apis/azure-api-for-fhir/disaster-recovery |
| Architect DICOM service with Azure Data Lake Storage | https://learn.microsoft.com/en-us/azure/healthcare-apis/dicom/dicom-data-lake |
| Implement digital pathology workflows with DICOM service | https://learn.microsoft.com/en-us/azure/healthcare-apis/dicom/dicom-digital-pathology |
Limits & Quotas
| Topic | URL |
|---|---|
| Use autoscale with Azure API for FHIR | https://learn.microsoft.com/en-us/azure/healthcare-apis/azure-api-for-fhir/autoscale-azure-api-fhir |
| Use autoscale for FHIR service performance and capacity | https://learn.microsoft.com/en-us/azure/healthcare-apis/fhir/autoscale |
Security
Configuration
Integrations & Coding Patterns
Deployment
> related_skills --same-repo
> microsoft-foundry
Expert knowledge for Microsoft Foundry (aka Azure AI Foundry) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with Azure OpenAI, vector search/RAG, Sora video, realtime audio, or MCP/LangChain APIs, and other Microsoft Foundry related development tasks. Not for Microsoft Foundry Classic (use microsoft-foundry-classic),
> microsoft-foundry-tools
Expert knowledge for Microsoft Foundry Tools (aka Azure AI services, Azure Cognitive Services) development including best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Content Understanding analyzers, Content Moderator APIs, Foundry containers, VNet/Key Vault security, or Entra auth, and other Microsoft Foundry Tools related development tasks. Not for Microsoft Foundry (use micr
> microsoft-foundry-local
Expert knowledge for Microsoft Foundry Local (aka Azure AI Foundry Local) development including troubleshooting, best practices, decision making, configuration, and integrations & coding patterns. Use when using Foundry Local CLI, chat/transcription APIs, tools, OpenAI/LangChain clients, or upgrading legacy SDKs, and other Microsoft Foundry Local related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foun
> microsoft-foundry-classic
Expert knowledge for Microsoft Foundry Classic (aka Azure AI Foundry classic) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with RAG, tools, evaluators, Azure OpenAI, VNet/Private Link, or CI/CD deployments, and other Microsoft Foundry Classic related development tasks. Not for Microsoft Foundry (use microsoft-foundry