How Data Analytics Can Be Leveraged to Enhance Graduate Clinical Skills Education.

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Bibliographic Details
Title: How Data Analytics Can Be Leveraged to Enhance Graduate Clinical Skills Education.
Authors: Garibaldi BT; is Director, Center for Bedside Medicine, and Charles Horace Mayo Professor of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA., Hollon M; is an Associate Professor of Medicine and Vice Chair for Education, Department of Anesthesiology, Emory University School of Medicine, Atlanta, Georgia, USA., Knopp MI; is an Assistant Professor, Department of Pediatrics and Department of Biostatistics, Health Informatics, and Data Sciences, University of Cincinnati College of Medicine, and a Member, Divisions of Biomedical Informatics and Hospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA., Winkel AF; is a Professor and Vice Chair for Education, Department of Obstetrics and Gynecology, and Assistant Director, Institute for Innovations in Medical Education, New York University (NYU) Grossman School of Medicine, New York, New York, USA., Burk-Rafel J; is an Assistant Professor, Division of Hospital Medicine, and Director, Precision and Translation Medical Education Laboratory, Institute for Innovations in Medical Education, NYU Grossman School of Medicine, New York, New York, USA., Caretta-Weyer HA; is a Clinical Associate Professor, Department of Emergency Medicine, and Associate Dean of Admissions and Assessment, Stanford University School of Medicine, Palo Alto, California, USA.
Source: Journal of graduate medical education [J Grad Med Educ] 2025 May; Vol. 17 (2 Suppl), pp. 37-41. Date of Electronic Publication: 2025 May 15.
Publication Type: Journal Article
Journal Info: Publisher: Accreditation Council for Graduate Medical Education Country of Publication: United States NLM ID: 101521733 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1949-8357 (Electronic) Linking ISSN: 19498357 NLM ISO Abbreviation: J Grad Med Educ Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:1949-8357
DOI:10.4300/JGME-D-24-00776.1