Overview of FHIR data ingestion in healthcare data solutions (preview)
[This article is prerelease documentation and is subject to change.]
The FHIR data ingestion pipeline in healthcare data solutions (preview) enables you to import your Fast Healthcare Interoperability Resources (FHIR) data sourced from a FHIR service directly into your data lake in its raw JSON format. You can use the FHIR export service and Microsoft Fabric OneLake to efficiently integrate FHIR data from services such as Azure Health Data Services.
The capability allows you to store data in the data lake as newline delimited JSON (NDJSON) files. This streamlined process ensures the integrity and accessibility of your healthcare data within the Fabric environment, facilitating easy retrieval and analysis. If you don't have a FHIR server in your test environment, you can use the sample data that we provide.
Healthcare data solutions (preview) support the full set of FHIR R4 resources as outlined in the HL7 FHIR R4 US Core specifications. Bringing your FHIR data to the lake unlocks many analytical capabilities for your clinical, financial (claims and explanation of benefits), and administration data. You can use the solution and the comprehensive dataset to develop various analytical scenarios such as:
- Quality reporting
- Population health management
- Clinical research studies
- Operational reporting
- Decision support
Note
If you're using your own FHIR data, you need the FHIR data ingestion capability to run other healthcare data solutions (preview) capabilities. FHIR data ingestion also has a direct dependency on the Healthcare data foundations capability. Make sure you successfully deploy Healthcare data foundations first before you deploy FHIR data ingestion.
To learn how to deploy, configure, and use FHIR data ingestion, see: