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Defining Medical AI Competencies for Medical School Graduates

Outcomes of a Delphi Survey and Medical Student/Educator Questionnaire of South Korean Medical Schools

Bibliographic Data

ID21612397
AuthorsYoung‐Mee Lee (0000-0002-4685-9465, Y.-M. Lee is professor and director, Department of Medical Education, and director of Continuous Quality Improvement in Medical Education, International Relations, and Faculty Development, Korea University College of Medicine, Seoul, South Korea, and a project leader sponsored by The National Academy of Medicine Korea), Naoko Ishikawa (0000-0002-2701-6892, corresponding author), Suyoun Kim (0000-0002-9874-3069, S. Kim is research professor, educational technology and instructional design, Institute for Information and Data Convergence and Department of Medical Education, Korea University College of Medicine, Seoul, South Korea), Young-Hee Lee (0000-0002-4584-9070, Y.-H. Lee is research professor, Medical Education Center, and assistant director, faculty development and continuous quality improvement in medical education, Korea University College of Medicine, Seoul, South Korea), Hun-Sung Kim (0000-0002-7002-7300, H.-S. Kim is professor, Department of Medical Informatics and Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea), Sung Wook Seo (0000-0001-8643-7825, S.W. Seo is professor, Department of Orthopedic Surgery, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea ; [email protected]), Hwiyoung Kim (0000-0001-7778-8973, Yonsei University College of Medicine), Kwang Joon Kim (0000-0002-5554-8255, K.J. Kim is associate professor of geriatrics and clinician, digital health care and medical artificial intelligence, Severance Hospital Yonsei University College of Medicine, Seoul, South Korea)
Year2024
Volume99
Issue5
Pages524-533
Publication date2024-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAcademic Medicine (JOURNAL)
Journal identifiersISSN: 1040-2446 • E-ISSN: 1938-808X
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1097/acm.0000000000005618
OpenAlexW38207056
LanguageEN
Citations received6
References cited36

Developmental psychology · Medical education · Psychiatry · Psychosocial · School health · Clinical Psychology · HIV/AIDS Impact and Responses · Medicine · Poverty, Education, and Child Welfare · Psychology · Gerontology

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  • A critical review of the Delphi technique as a research methodology for nursing

    Open Access•Sinead Keeney, Felicity Hasson et al.•International Journal of Nursing…•2001

  • Analyzing and Interpreting Data From Likert-Type Scales

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  • Competency-based medical education

    Jason R Frank, Linda Snell et al.•Medical Teacher•2010

  • Viewpoint

    Olle ten Cate, Fedde Scheele•Academic Medicine•2007

  • Defining consensus

    Open Access•Ivan R Diamond, Robert C Grant et al.•Journal of Clinical Epidemiology•2014

  • Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

    Gérard Mauger, Ziad Obermeyer et al.•New England Journal of Medicine•2016

  • High-performance medicine

    Open Access•Eric J Topol•Nature Medicine•2019

  • Artificial intelligence in medical education

    Ken Masters•Medical Teacher•2019

  • Cutoff criteria for fit indexes in covariance structure analysis

    Li‐tze Hu, Peter M Bentler•Structural Equation Modeling: A…•1999

  • Likert scales, levels of measurement and the “laws” of statistics

    Open Access•Geoff Norman, Geoffrey R Norman•Advances in Health Sciences…•2010

  • A Quantitative Approach to Content Validity 1

    Open Access•C H Lawshe•Personnel Psychology•1975

  • Using consensus group methods such as Delphi and Nominal Group in medical education research

    Susan Humphrey‐Murto, Susan Humphrey-Murto et al.•Medical Teacher•2016

  • Consensus measurement in Delphi studies

    Open Access•Heiko A von der Gracht•Technological Forecasting and…•2012

  • Exploratory Factor Analysis

    Open Access•Marley W Watkins•Journal of Black Psychology•2018

  • Alternative Ways of Assessing Model Fit

    Open Access•Michael W Browne, Robert Cudeck•Sociological Methods & Research•1992

Unique citing works6
Citations per year0,38
Citation span2010 - 2026 (17)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4

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