FHIR4DS-v2 is a production-scale analytics engine designed for clinical reasoning and population health analytics on FHIR (Fast Healthcare Interoperability Resources) data. It enables direct querying of FHIR resources using standard SQL, leveraging high-performance DuckDB extensions without the need for pre-flattening data or complex ETL processes. The platform is positioned as the first SQL-native clinical reasoning engine, translating CQL (Clinical Quality Language) into DuckDB SQL for rapid, auditable analytics with minimal infrastructure requirements.
Key features include support for native FHIR analytics, allowing users to query FHIR resources with FHIRPath expressions directly in SQL. FHIR4DS-v2 also offers logic flattening, enabling complex resources to be transformed into analytical tables using portable ViewDefinitions that are fully compliant with the HL7 specification. 9 milliseconds per patient for SQL execution. It provides full auditability with human-readable narratives and logical breadcrumb trails for every decision, ensuring transparency and traceability in analytical results. The compiled SQL is inspectable, optimizable, and can be exported to Parquet, giving users complete control over their queries and data pipelines.
FHIR4DS-v2 runs without server infrastructure, requiring no JVM, Docker, or dedicated servers. It can operate locally in notebooks or entirely client-side via WebAssembly, making it suitable for secure SMART on FHIR applications. The platform is open-source, standards-compliant, and built to support high-performance clinical quality measurement. It demonstrates 100% compliance with CQL, FHIRPath, and SQL-on-FHIR v2 standards, and has been tested against multiple eCQM (electronic clinical quality measure) standards.
The tool is available under a dual licensing model, catering to both open-source and commercial use cases. FHIR4DS-v2 is intended for healthcare data science professionals seeking scalable, auditable, and standards-compliant analytics on FHIR data without the overhead of traditional server-based infrastructures.
fhir4ds-v2 sits in PulseGate's Frameworks & SDKs category. It focuses on enabling healthcare data scientists to analyze FHIR data using Python and standard query languages. fhir4ds-v2 is an open-source project aimed at healthcare data scientists. The project is open source (AGPL-3.0). The product ships for the web, the command line, and API.
Behind fhir4ds-v2 is fhir4ds, and the product first shipped in 2026. The project is developed in the open on GitHub with 247 commits in the last 90 days. Among its 5 catalogued features are FHIRPath analytics, CQL support, and SQL-on-FHIR. It exposes integrations via a public API.
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