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This paper is in the following e-collection/theme issue:

eHealth Literacy / Digital Literacy (928) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (1043) Electronic Health Records (1793) Crowdsourcing and Mechanical Turks (114) Patient-Accessible Health Records (including Open Notes) (20)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49704, first published .
Doctor discusses medical chart with patient in hospital room.

Evaluating Expert-Layperson Agreement in Identifying Jargon Terms in Electronic Health Record Notes: Observational Study

Evaluating Expert-Layperson Agreement in Identifying Jargon Terms in Electronic Health Record Notes: Observational Study

Authors of this article:

John P Lalor1 Author Orcid Image ;   David A Levy2 Author Orcid Image ;   Harmon S Jordan3 Author Orcid Image ;   Wen Hu2, 4 Author Orcid Image ;   Jenni Kim Smirnova5 Author Orcid Image ;   Hong Yu2, 4, 6 Author Orcid Image
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Journals

  1. Benker-Hasani E, Richter S, Buszello C, Willkommen S, Prem M, Hijazi M, Martin K, Juratli T, Eyüpoglu I, Polanski W. Effect of Previsit AI-Generated Document Summaries on Consultation Time and Patient–Physician Communication — The AI-INFOCARE Randomized Controlled Trial. NEJM AI 2026 View