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Evaluating Large Language Models for Translating Multimodal Phenotype Documentations into Executable EHR Phenotyping Algorithms

2026-05-22

Abstract excerpt

Research applications of electronic health record (EHR) phenotypes require translating clinical definitions into executable EHR database queries, a labor-intensive process. We evaluated two frontier large language models across five phenotypes and three documentation modalities. Both models captured high-level logic from structured text but degraded markedly with diagram-only input. Error analysis revealed seven f...

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Literature Corpus work
9d3ba83c-cc4b-546c-afe5-3077f54c9691
DOI
10.64898/2026.05.20.26353690
Open publication

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Evaluating Large Language Models for Translating Multimodal Phenotype Documentations into Executable EHR Phenotyping AlgorithmsDOI 10.64898/2026.05.20.26353690
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