A FHIR® server with an internal, fast CQL evaluation engine for population-wide healthcare queries.
Blaze is a FHIR® server with an integrated Clinical Quality Language (CQL) evaluation engine designed for healthcare data interoperability. It enables population-wide aggregate queries across millions of patient records in a timely manner, supporting interactive analytics for medical research and biobanking. The server implements FHIR® R4 standards and provides terminology services with support for LOINC and SNOMED CT.
Healthcare organizations, medical researchers, biobanks, and developers building systems for large-scale clinical data analysis and interoperability within the FHIR ecosystem.
Developers choose Blaze for its fast internal CQL engine, horizontal scalability via distributed storage, and comprehensive FHIR® R4 implementation. It is widely adopted in European medical informatics initiatives and biobanks, offering stability and performance for population health queries.
A FHIR® Server with internal, fast CQL Evaluation Engine
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Enables interactive, population-wide queries over millions of patient records in a timely manner, as stated in the goal for online analytics.
Offers a distributed storage variant for scaling across multiple nodes, supporting large-scale deployments like biobanks across Europe.
Implements large parts of the FHIR® R4 API, including operations like $evaluate-measure and $everything, ensuring healthcare interoperability.
Provides built-in terminology services with support for LOINC and SNOMED CT code systems, essential for clinical data standardization.
Admits to implementing 'large parts' of FHIR R4, not all features, which may require workarounds for missing API endpoints or resources.
Requires a Java environment and performance tuning (e.g., with YourKit profiler), adding deployment overhead compared to lighter, containerized alternatives.
While stable in European medical initiatives, the community and third-party plugins are smaller than other FHIR servers like HAPI, potentially slowing integration.