Article

Scalable information extraction from free text electronic health records using large language models

2024-08-10

Abstract excerpt

<title>Abstract</title> <p>Background A vast amount of potentially useful information such as description of patient symptoms, family, and social history is recorded as free-text notes in electronic health records (EHRs) but is difficult to reliably extract at scale, limiting their utility in research. This study aims to assess whether an “out of the box” implementation of open-source large language models (LLMs...

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Literature Corpus work: b0b01059-5c47-5ca2-90a2-52cbf783a9cc
DOI: 10.21203/rs.3.rs-4714451/v1

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