The Rise of Natural Language Processing and the Fall of the Illness Narrative in Clinical Documentation

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ID: 325518
2026
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Ranked #528 of 530 articles by views in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

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Abstract
The integration of artificial intelligence (AI) into clinical documentation is reshaping infectious diseases (ID) outpatient practice. While natural language processing (NLP)-based scribing tools may improve efficiency and reduce administrative burden, they risk altering the illness narrative embedded within clinical notes. In ID settings, where diagnostic uncertainty is common, documentation can serve both as clinical reasoning and a therapeutic tool. This essay examines how AI-generated documentation may flatten narrative nuance and considers the implications of this shift in the era of open notes. It argues that the loss of interpretive, patient-centered language may diminish the therapeutic potential of the medical record. It argues that, although AI-assisted documentation likely offers efficiencies, preserving the clinician's role in interpreting and authoring the illness narrative remains an essential component of patient care.
Reference Key
openalex_W7203745017 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Sarah B Calvert
Journal Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
Year 2026
DOI
10.1093/cid/ciag494
URL
https://doi.org/10.1093/cid/ciag494
Keywords Keywords not found

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