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

Generative Language Models Including ChatGPT (745) AI Language Models in Health Care (215) Electronic Health Records (1337) Artificial Intelligence (2202) Clinical Information and Decision Making (1960)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67967, first published .
Large Language Model–Based Assessment of Clinical Reasoning Documentation in the Electronic Health Record Across Two Institutions: Development and Validation Study

Large Language Model–Based Assessment of Clinical Reasoning Documentation in the Electronic Health Record Across Two Institutions: Development and Validation Study

Large Language Model–Based Assessment of Clinical Reasoning Documentation in the Electronic Health Record Across Two Institutions: Development and Validation Study

Authors of this article:

Verity Schaye1, 2 Author Orcid Image ;   David DiTullio1 Author Orcid Image ;   Benedict Vincent Guzman3 Author Orcid Image ;   Scott Vennemeyer4 Author Orcid Image ;   Hanniel Shih4 Author Orcid Image ;   Ilan Reinstein2 Author Orcid Image ;   Danielle E Weber5, 6 Author Orcid Image ;   Abbie Goodman5, 6 Author Orcid Image ;   Danny T Y Wu4 Author Orcid Image ;   Daniel J Sartori1 Author Orcid Image ;   Sally A Santen7 Author Orcid Image ;   Larry Gruppen8 Author Orcid Image ;   Yindalon Aphinyanaphongs3 Author Orcid Image ;   Jesse Burk-Rafel1, 2 Author Orcid Image
Article Authors Cited by (5) Tweetations (1) Metrics

Journals

  1. Leung T, Coristine A, Benis A. AI Scribes in Health Care: Balancing Transformative Potential With Responsible Integration. JMIR Medical Informatics 2025;13:e80898 View
  2. Schaye V, Sartori D, Signoriello L, Malhotra K, Guzman B, Rajput B, Reinstein I, Burk‐Rafel J. Large language model‐based identification of venous thromboembolism diagnostic delays. Journal of Hospital Medicine 2025 View
  3. Olson A, Rencic J, Wijesekera T. Diagnosis education: a decade of progress, with more needed. Diagnosis 2025;12(4):588 View
  4. Tonutti A, Luciano N, Maizza B, Papatolo A, Bellone A, Svensson Di Giorgio S, Tettamanzi G, Grondelli M, Barone E, Lambri N, Loiacono D, Selmi C. Development of a confidence-based Natural Language Processing tool to identify inflammatory arthritis from non-inflammatory conditions in Rheumatology medical notes. Arthritis Research & Therapy 2026 View
  5. Shaban S, Magzoub M. Artificial Intelligence in Medical Education and Assessment: The next step in the IT Revolution. F1000Research 2025;14:1360 View