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Medical School Admissions

Focusing on Producing a Physician Workforce That Addresses the Needs of the United States

Bibliographic Data

ID21613726
AuthorsCharles G Prober (0000-0003-3559-6986, C.G. Prober is professor of pediatrics, microbiology, and immunology, and senior associate vice provost for health education, Stanford University, Stanford, California, corresponding author), Sanjay V Desai (0000-0002-9759-7696, S.V. Desai is chief academic officer, American Medical Association, Washington, DC, and professor of medicine, Johns Hopkins University, Baltimore, Maryland ; [email protected])
Year2023
Volume98
Issue9
Pages983-986
Publication date2023-09-01
Open AccessYes
TypeARTICLE
VenueAcademic Medicine (JOURNAL)
Journal identifiersISSN: 1040-2446 • E-ISSN: 1938-808X
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1097/acm.0000000000005262
PMID37130009
OpenAlexW4367668354
LanguageEN
Citations received2
References cited12

The aging population, burnout, and earlier retirement of physicians along with the static number of training positions are likely to worsen the current physician shortage. There is an urgent need to transform the process for selecting medical students. In this Invited Commentary, the authors suggest that to build the physician workforce that the United States needs for the future, academic medicine should focus on building capacity in 3 overarching areas. First, medical schools need to develop a more diverse pool of capable applicants that better matches the demographic characteristics of health care trainees with those of the population, and they need to nurture applicants with diverse career aspirations. Second, medical schools should recalibrate their student selection process, aligning criteria for admission with competencies expected of medical school graduates, whether they choose to become practicing clinicians, physician–scientists, members of the public health workforce, or policy makers. Selection criteria that overweight the results of standardized test scores should be replaced by assessments that value and predict academic capacity, adaptive learning skills, curiosity, compassion, empathy, emotional maturity, and superior communication skills. Finally, to improve the equity and effectiveness of the selection processes, medical schools should leverage innovations in data science and generative artificial intelligence platforms. The ability of ChatGPT to pass the United States Medical Licensing Examination (USMLE) demonstrates the decreasing importance of memorization in medicine in favor of critical thinking and problem-solving skills. The 2022 change in the USMLE Step 1 to pass/fail plus the exodus of several prominent medical schools from the U.S. News and World Report rankings have exposed limitations of the current selection processes. Newer approaches that use precision education systems to leverage data and technology can help address these limitations

Environmental health · Family medicine · Health care · Medical education · Medical school · MEDLINE · Nurse practitioners · Physician assistants · Physician supply · Political science · Workforce · Diversity and Career in Medicine · Innovations in Medical Education · Medical Education and Admissions · Medicine

  • Toward a Larger, More Representative, and Fulfilled Health Professions Workforce

    Open Access•Laura Weiss Roberts•Academic Medicine•2023

  • Reimagining the Medical School Accreditation Process in a Rapidly Changing Health Care Environment

    Open Access•Charles G Prober, Aarti A Porwal et al.•Academic Medicine•2025

  • Estimating the Attributable Cost of Physician Burnout in the United States

    Open Access•Shasha Han, Tait D Shanafelt et al.•Annals of Internal Medicine•2019

  • Performance of ChatGPT on USMLE

    Open Access•Tiffany H Kung, Morgan Cheatham et al.•PLOS Digital Health•2023

  • The Association of American Medical Colleges

    FRED C ZAPFFE•Academic Medicine•1938

Citations per year0.67
Citation span2023 - 2025 (3)
Highly citedNo

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