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Selecting trainees

Too much focus on predictive metrics, not enough on holistic review

Bibliographic Data

ID21517232
AuthorsJustin T Clapp (0000-0002-8744-0572, Perelman School of Medicine ‐ Anesthesiology and Critical Care University of Pennsylvania Philadelphia Pennsylvania USA), Emily K Gordon (0000-0002-7931-7013, Perelman School of Medicine ‐ Anesthesiology and Critical Care University of Pennsylvania Philadelphia Pennsylvania USA, corresponding author)
Year2022
Volume56
Issue2
Pages139-141
Publication date2022-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueMedical Education (JOURNAL)
Journal identifiersISSN: 0308-0110 • E-ISSN: 1365-2923
PublisherWiley (PUBLISHER • GB)
DOI10.1111/medu.14704
PMID34841556
OpenAlexW3216483108
LanguageEN
References cited10

Clapp and Gordon argue that no predictive metric or mathematical model is the golden ticket for selecting among applicants to medical education programs

Medical education · Operations management · Ticket · Computer Science · Diversity and Career in Medicine · Engineering · Innovations in Medical Education · Medical Education and Admissions · Medicine · Psychology

  • How effective are selection methods in medical education? A systematic review

    Open Access•Fiona Patterson, Alec Knight et al.•Medical Education•2016

  • Weighting admission scores to balance predictiveness‐diversity

    Open Access•Filip Lievens, Paul R Sackett et al.•Medical Education•2022

  • The role of the interview in residency selection

    Open Access•Emily K Gordon, Justin T Clapp et al.•Medical Education•2020

Citation velocityhistorical
Highly citedNo

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