Article

Large language models outperform traditional natural language processing methods in extracting patient-reported outcomes in IBD

2024-09-06

Abstract excerpt

<h4>Background and Aims</h4> Patient-reported outcomes (PROs) are vital in assessing disease activity and treatment outcomes in inflammatory bowel disease (IBD). However, manual extraction of these PROs from the free-text of clinical notes is burdensome. We aimed to improve data curation from free-text information in the electronic health record, making it more available for research and quality improvement. This...

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Literature Corpus work: bfd37691-f0c5-5c29-b71e-9b6dbb9b052f
DOI: 10.1101/2024.09.05.24313139

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