Health Data Analytics Pipelines is an open source project with the goal to help build components and pipelines for transforming and moving FHIR and DICOM data from FHIR and DICOM servers to Azure Data Lake and thereby make it available for analytics with Azure Synapse, Power BI, and Azure Machine Learning.
This OSS project currently has the following solutions:
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FHIR to Synapse sync agent: This is an Azure Container App that extracts data from a FHIR server using FHIR Resource APIs, converts it to hierarchial Parquet files, and writes it to Azure Data Lake in near real time. This also contains a script to create external tables and views in Synapse Serverless SQL pool pointing to the Parquet files.
This solution enables you to query against the entire FHIR data with tools such as Synapse Studio, SSMS, and Power BI. You can also access the Parquet files directly from a Synapse Spark pool. You should consider this solution if you want to access all of your FHIR data in near real time, and want to defer custom transformation to downstream systems.
Supported FHIR server: FHIR Service in Azure Health Data Services, Azure API for FHIR, FHIR server for Azure
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FHIR to CDM Pipeline Generator: It is a tool to generate an ADF pipeline for moving a snapshot of data from a FHIR server using $export API to a CDM folder in Azure Data Lake Storage Gen 2 in csv format. The tools requires a user-created configuration file containing instructions to project and flatten FHIR Resources and fields into tables. You can also follow the instructions for creating a downstream pipeline in Synapse workspace to move data from CDM folder to Synapse dedicated SQL pool.
This solution enables you to transform the data into tabular format as it gets written to CDM folder. You should consider this solution if you want to transform FHIR data into a custom schema as it is extracted from the FHIR server.
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