Article

Agentic Authoring of OMOP Concept Sets from Natural Language

2026-06-03

Abstract excerpt

Authoring OMOP concept sets from free-text descriptions remains a major bottleneck in scalable computable phenotyping for observational research. Existing tools support parts of this workflow but are designed primarily for interactive expert use rather than autonomous large language model (LLM) agents. We present an agentic framework that automatically generates OMOP concept sets by combining vocabulary tools, ont...

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Literature Corpus work: 588aa902-23f5-53a0-9ed1-a2b7dc5d43bd
DOI: 10.64898/2026.06.02.26354704

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