Development and Validation of a Machine Learning Model for Automated Assessment of Resident Clinical Reasoning Documentation.

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Bibliographic Details
Title: Development and Validation of a Machine Learning Model for Automated Assessment of Resident Clinical Reasoning Documentation.
Authors: Schaye V; NYU Grossman School of Medicine, New York, NY, USA. verity.schaye@nyulangone.org.; NYC Health & Hospitals/Bellevue, New York, NY, USA. verity.schaye@nyulangone.org., Guzman B; NYU Grossman School of Medicine, New York, NY, USA., Burk-Rafel J; NYU Grossman School of Medicine, New York, NY, USA., Marin M; NYU Grossman School of Medicine, New York, NY, USA., Reinstein I; NYU Grossman School of Medicine, New York, NY, USA., Kudlowitz D; NYU Grossman School of Medicine, New York, NY, USA., Miller L; Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA., Chun J; Stanford University School of Medicine, Stanford, CA, USA., Aphinyanaphongs Y; NYU Grossman School of Medicine, New York, NY, USA.
Source: Journal of general internal medicine [J Gen Intern Med] 2022 Jul; Vol. 37 (9), pp. 2230-2238. Date of Electronic Publication: 2022 Jun 16.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 8605834 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1525-1497 (Electronic) Linking ISSN: 08848734 NLM ISO Abbreviation: J Gen Intern Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1525-1497
DOI:10.1007/s11606-022-07526-0