Ensuring Data Interoperability: FHIR/HL7 Pipeline Construction and Governance Strategy
FHIR/HL7 Pipelines on Databricks: Data Contracts and DQ | Kriv AI
Summary
The article addresses complex data integration challenges in healthcare, advocating a 'contracts-first' approach. It aims to reduce operational risk and build reliable pipelines by implementing data quality assurance (DQ) and schema evolution management.
Details
Healthcare data flows through numerous point-to-point interfaces, including HL7 v2 (ADT, ORU, ORM) and FHIR R4 APIs. Ensuring the reliability and managing the quality of these integrations is critical. The article proposes 'Data Contracts' and 'DQ SLAs' as solutions. Implementation steps include inventorying interfaces and publishing data contracts to define required fields and error semantics. Pipelines should be built using schema-enforcing tools (like DLT/Auto Loader) that quarantine non-conforming messages in a Dead-letter Queue (DLQ). Furthermore, operational stages require robust governance: implementing mTLS for transport security, managing change control via CI/CD, and controlling schema evolution. Establishing these governance structures allows organizations to achieve both compliance and scalability.
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