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May 6, 2026Medical Teacher0 citations

The research we never questioned: What artificial intelligence is revealing in health professions education

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WNWaqar M. NaqviPSPanayiota Senekkis-FlorentMRMichael Rowe

Key Points

  • To explore the impact of artificial intelligence on health professions education and research frameworks.
  • Analysis of the current role of AI in health professions education research.
  • Examination of disclosure and formation frameworks for researchers.
  • Discussion on the implications of technology disruptions in scholarly development.
  • Identified gaps in the emphasis on disclosure frameworks over formation frameworks.
  • Noted a need for researcher training beyond mere research outputs.
  • Highlighted the importance of questioning traditional evidence hierarchies and peer review processes.

Abstract

Health professions' education (HPE) research has evolved within an academic ecosystem. This paper works to put forth that generative artificial intelligence (AI) and autonomous AI agents are exposing the underbelly of HPE. Two responses have emerged: disclosure frameworks that report AI use, and formation frameworks that assess researchers' readiness to critically examine evolving knowledge systems being reshaped by AI. The field has emphasized the former while neglecting the latter. We argue that HPE necessitates more than disclosure policies. Training should assess researcher formation, including the ability to question evidence hierarchies, peer review, technology disruptions, and publication systems, rather than relying on research outputs alone for scholarly development.

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Cite This Study

Naqvi et al. (2026) studied this question.

synapsesocial.com/papers/69fa8e0b04f884e66b5304echttps://doi.org/10.1080/0142159x.2026.2667279
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