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Artificial Intelligence and Admissions to Health Professions Educational Programs: A Scoping Review.

Lisa S Lewis1, Ann Michelle Hartman, Jill Brennan-Cook

  • 1Author Affiliations: Duke University School of Nursing, Durham, North Carolina (Drs Lewis, Hartman, Brennan-Cook, and Felsman, and Ms Colbert, and Dr Gedzyk-Nieman); and Duke University Medical Center Library, Durham, North Carolina (Ms Ledbetter).

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Summary
This summary is machine-generated.

Artificial intelligence (AI) and large language models (LLMs) are increasingly used in health professions admissions. While AI enhances application preparation and review efficiency, ethical concerns regarding authenticity and the need for clear guidelines require further investigation.

Keywords:
admissionsapplicants to nursing programshealth care professions programsholistic admissions

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Area of Science:

  • Health Professions Education
  • Medical Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Increasing use of artificial intelligence (AI) and large language models (LLMs) in preparing health professions admissions applications.
  • AI tools offer significant writing improvements but raise ethical concerns about application authenticity.

Purpose of the Study:

  • To conduct a scoping review of the literature on AI use by health professions applicants and admissions reviewers.
  • To explore the current landscape and ethical considerations of AI in admissions.

Main Methods:

  • Adherence to Joanna Briggs Institute and PRISMA-Scoping Review guidelines.
  • Comprehensive database search yielding 1706 citations.
  • Final selection of 18 articles for review.

Main Results:

  • AI applications in admissions screening and prediction of outcomes.
  • Ethical implications of AI-generated personal statements and detection methods.
  • Use of AI in writing and analyzing letters of reference.

Conclusions:

  • AI can improve admissions review efficiency but necessitates clear ethical guidelines.
  • Further research is crucial, especially within nursing education.
  • Addressing authenticity and ethical use of AI in admissions is paramount.