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Blaze: A High-Performance Open Source FHIR Server with Embedded CQL Evaluation Engine
Alexander Kiel1, Tobias Kussel2,3,4, Julian Gruendner5
1Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany.
Blaze, a high-performance FHIR server with a Clinical Quality Language engine, efficiently supports large-scale clinical research queries. Its functional database design achieves scalable, standards-compliant performance for data networks.
Area of Science:
- Health Informatics
- Computer Science
- Bioinformatics
Background:
- The German Cancer Consortium (DKTK) and German Medical Informatics Initiative (MII) require robust data infrastructure for research.
- Federated feasibility queries demand high-performance, scalable FHIR servers.
Purpose of the Study:
- To introduce Blaze, an open-source, high-performance FHIR server.
- To demonstrate Blaze's capability in supporting large-scale clinical research data networks.
Main Methods:
- Developed Blaze using Clojure with a functional, immutable database architecture (RocksDB).
- Implemented an embedded Clinical Quality Language (CQL) engine.
- Conducted benchmarks on datasets exceeding one billion FHIR resources.
Main Results:
- Blaze supports lock-free concurrency and efficient query execution.
- Achieved cohort queries over millions of patients in under one minute.
- Deployed in production at over 60 research sites globally.
Conclusions:
- Blaze provides scalable, standards-compliant performance for clinical research data networks.
- A functional, embedded database design is effective for high-performance FHIR servers.
- Blaze facilitates large-scale federated feasibility queries.
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