Article

Verifiable Summarization of Electronic Health Records Using Large Language Models to Support Chart Review

2025-06-03

Abstract excerpt

Information overload in electronic health records (EHRs) hampers clinicians’ ability to efficiently extract and synthesize critical information from a patient’s longitudinal health record, leading to increased cognitive burden and delays in care. This study explores the potential of large language models (LLMs) to address this challenge by generating problem-based admission summaries for patients admitted with hea...

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Literature Corpus work: 2f6f175b-a3cc-5690-ad88-28fc1b8ddcd7
DOI: 10.1101/2025.06.02.25328807

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