Development and Validation of a Machine Learning-Based Decision Support Tool for Residency Applicant Screening and Review.

Journal: Academic medicine : journal of the Association of American Medical Colleges
PMID: 34348383

Abstract

PURPOSE: Residency programs face overwhelming numbers of residency applications, limiting holistic review. Artificial intelligence techniques have been proposed to address this challenge but have not been created. Here, a multidisciplinary team sought to develop and validate a machine learning (ML)-based decision support tool (DST) for residency applicant screening and review.

Authors

  • Jesse Burk-Rafel
    J. Burk-Rafel is assistant professor of medicine and assistant director of UME-GME innovation, Institute for Innovations in Medical Education, NYU Grossman School of Medicine, New York, New York. At the time this work was completed, he was an internal medicine resident at NYU Langone Health, New York, New York; ORCID: https://orcid.org/0000-0003-3785-2154 .
  • Ilan Reinstein
    I. Reinstein is a research scientist, Institute for Innovations in Medical Education, NYU Grossman School of Medicine, New York, New York.
  • James Feng
    Cardiovascular Research Institute, Department of Medicine University of California San Francisco, USA.
  • Moosun Brad Kim
    M.B. Kim is a biostatistician at Aprogen, Seongnam, Republic of Korea. At the time this work was completed, he was a master's student in biomedical informatics, NYU Grossman School of Medicine Vilcek Institute of Graduate Biomedical Sciences, New York, New York.
  • Louis H Miller
    L.H. Miller is assistant professor of cardiology and assistant dean for career advisement, Zucker School of Medicine at Hofstra/Northwell, New York, New York.
  • Patrick M Cocks
    P.M. Cocks is the Abraham Sunshine Assistant Professor of Medicine, and program director of the internal medicine residency program, NYU Langone Health, New York, New York.
  • Marina Marin
    M. Marin is director of the division of educational analytics, Institute for Innovations in Medical Education, NYU Grossman School of Medicine, New York, New York.
  • Yindalon Aphinyanaphongs
    Department of Population Health, New York University, New York.

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