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

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Bibliographic Details
Title: Large Language Model-Based Assessment of Clinical Reasoning Documentation in the Electronic Health Record Across Two Institutions: Development and Validation Study.
Authors: Schaye V; Department of Medicine, NYU Grossman School of Medicine, New York, NY, United States.; Institute for Innovations in Medical Education, NYU Grossman School of Medicine, New York, NY, United States., DiTullio D; Department of Medicine, NYU Grossman School of Medicine, New York, NY, United States., Guzman BV; Division of Applied AI Technologies, NYU Langone Health, New York, NY, United States., Vennemeyer S; Department of Biostatistics, Health informatics, and Data Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, United States., Shih H; Department of Biostatistics, Health informatics, and Data Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, United States., Reinstein I; Institute for Innovations in Medical Education, NYU Grossman School of Medicine, New York, NY, United States., Weber DE; Division of Hospital Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, United States.; Division of Hospital Medicine, Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, United States., Goodman A; Division of Hospital Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, United States.; Division of Hospital Medicine, Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, United States., Wu DTY; Department of Biostatistics, Health informatics, and Data Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, United States., Sartori DJ; Department of Medicine, NYU Grossman School of Medicine, New York, NY, United States., Santen SA; Department of Emergency Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, United States., Gruppen L; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, United States., Aphinyanaphongs Y; Division of Applied AI Technologies, NYU Langone Health, New York, NY, United States., Burk-Rafel J; Department of Medicine, NYU Grossman School of Medicine, New York, NY, United States.; Institute for Innovations in Medical Education, NYU Grossman School of Medicine, New York, NY, United States.
Source: Journal of medical Internet research [J Med Internet Res] 2025 Mar 21; Vol. 27, pp. e67967. Date of Electronic Publication: 2025 Mar 21.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1438-8871
DOI:10.2196/67967