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OMOP

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API Development
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Data Science & ML

Maps clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts leveraging Large Language Models.

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The OMOP Model Context Protocol (MCP) server is designed to bridge the gap between complex clinical terminology and the standardized Observational Medical Outcomes Partnership (OMOP) concepts. By utilizing advanced Large Language Models, it facilitates accurate and efficient mapping, validation, and search of medical terms, enabling seamless data integration and analysis in healthcare applications.

Key Features

01Converting between different clinical coding systems
02Searching OMOP vocabulary
03Validating terminology mappings
04Mapping clinical terminology to OMOP concepts
052 GitHub stars

Use Cases

01Automating the conversion of legacy clinical codes to OMOP standards
02Standardizing clinical data for research and analytical purposes
03Integrating disparate healthcare systems by harmonizing medical terminology