Preparing for the European Health Data Space: An Open-Source Compiler for Fast, Transparent, and Portable Health Data Transformations
Preparing for the European Health Data Space: An Open-Source Compiler
An open-source compiler was developed to support preparations for the European Health Data Space.
Summary
Researchers developed an open-source compiler called MaLaC-HD to solve the performance issues of executing FHIR Mapping Language (FML). This tool compiles FML code into Python, achieving data transformation speeds nearly 100 times faster than existing tools.
Details
Healthcare systems generate vast amounts of data in diverse and often incompatible formats. Ensuring interoperability is crucial for large-scale initiatives like the European Health Data Space (EHDS). This study addressed the bottleneck of slow execution speed when using HL7 FHIR's Mapping Language (FML) for data transformation. The developed tool, MaLaC-HD, compiles FML code into Python, enabling fast and efficient data conversion. Benchmarking showed that MaLaC-HD achieved execution speeds nearly 100 times faster than existing tools, while maintaining functional correctness. This technology is expected to contribute to the processing of health data for large-scale research and secondary use in initiatives like EHDS, providing a powerful tool for the EHR community.
Technology Note
FHIR（Fast Healthcare Interoperability Resources）は医療データ交換の国際標準。このエントリの関連技術: FHIR
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