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Article

A Scalable Method for Validated Data Extraction from Electronic Health Records with Large Language Models

2025-02-26

Abstract excerpt

<h4>Purpose/Background</h4> Healthcare organizations increasingly require structured, patient-level clinical variables for treatment decisions, operational workflows, quality measurement, and clinical trial screening. Relevant information is often fragmented across heterogeneous EHR systems, unstructured formats, and scanned documents. Large language models (LLMs) offer an opportunity to enhance medical record da...

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Identifiers and source

Literature Corpus work
56be010b-c172-550b-ab16-06c47e2fca77
DOI
10.1101/2025.02.25.25322898
Open publication

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A Scalable Method for Validated Data Extraction from Electronic Health Records with Large Language ModelsDOI 10.1101/2025.02.25.25322898
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