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Article

Targeted use of large language models for EHR-based computable phenotyping.

Journal of the American Medical Informatics Association : JAMIA - 1 Jun 2026

Owens Dylan, Cao Jing, Gupta Mehak, Nguyen Danh, Peterson Eric, Navar Ann Marie

Abstract excerpt

OBJECTIVE: Computable phenotypes derived from electronic health records (EHRs) are central to clinical research and quality reporting. Although large language models (LLMs) can extract clinically rich information from unstructured notes, routine application to all patients is computationally expensive. We evaluated whether uncertainty-guided selective use of LLMs can improve phenotyping accuracy while preserving...

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PMID: 41990328
DOI: 10.1093/jamia/ocag051
PMCID: PMC13197181

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