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dc.contributor.authorBrender, Teva D.
dc.contributor.authorCeli, Leo A.
dc.contributor.authorCobert, Julien M.
dc.date.accessioned2025-05-15T20:58:46Z
dc.date.available2025-05-15T20:58:46Z
dc.date.issued2024-10-04
dc.identifier.urihttps://hdl.handle.net/1721.1/159281
dc.description.abstractOpenAI’s ChatGPT sparked tremendous excitement regarding potential healthcare applications of large language models (LLM). LLMs trained on electronic health record (EHR) notes could enrich the feature space for many tasks including risk prediction, data classification (e.g., identifying protected health information), augmented documentation, and patient communication. Crucially, LLMs will learn not only from objective clinical data, but also from patient narratives—subjective texts authored by human clinicians, who may be sources of bias. In recognizing clinical notes as clinical narratives, and clinicians as narrators, we gain important insights into potential downstream implications of training LLMs on EHRs. Here we argue that a richer understanding of notes’ narrative elements, informed by principles from the field of narratology, could facilitate the development of LLMs that are more conscious of bias and enable the delivery of high-quality, human-centered care.en_US
dc.publisherSpringer International Publishingen_US
dc.relation.isversionofhttps://doi.org/10.1007/s11606-024-09093-yen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSpringer International Publishingen_US
dc.titleClinical Notes as Narratives: Implications for Large Language Models in Healthcareen_US
dc.typeArticleen_US
dc.identifier.citationBrender, T.D., Celi, L.A. & Cobert, J.M. Clinical Notes as Narratives: Implications for Large Language Models in Healthcare. J GEN INTERN MED 40, 687–689 (2025).en_US
dc.contributor.departmentHarvard--MIT Program in Health Sciences and Technology. Laboratory for Computational Physiologyen_US
dc.relation.journalJournal of General Internal Medicineen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2025-03-27T13:49:14Z
dc.language.rfc3066en
dc.rights.holderThe Author(s), under exclusive licence to Society of General Internal Medicine
dspace.embargo.termsY
dspace.date.submission2025-03-27T13:49:14Z
mit.journal.volume40en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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