Accessibility settings

This paper is in the following e-collection/theme issue:

Artificial Intelligence (AI) in Medical Education (871) Testing and Assessment in Medical Education (243) New Methods and Approaches in Medical Education (682) New Resources for Medical Education (215) Generative Language Models Including ChatGPT (1644)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82988, first published .
Doctor in white coat using a tablet with a stethoscope

Susceptibility of Assessment Types to AI-Generated Content in Digital Health and Health Information Management Education: Quasi-Experimental Pilot Study

Susceptibility of Assessment Types to AI-Generated Content in Digital Health and Health Information Management Education: Quasi-Experimental Pilot Study

Authors of this article:

Tafheem Ahmad Wani1 Author Orcid Image ;   Michael Liem1 Author Orcid Image ;   Natasha Prasad1 Author Orcid Image ;   Kerin Robinson1 Author Orcid Image ;   Abbey Nexhip1 Author Orcid Image ;   Melanie Tassos1 Author Orcid Image ;   Stephanie Gjorgioski1 Author Orcid Image ;   Urooj Raza Khan1 Author Orcid Image ;   James Boyd1 Author Orcid Image ;   Merilyn Riley1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Patil S, Karabacak M, Bisdas S, Margetis K. Generative Language Models in Medical Education: From Advent to Entrustment. JMIR Medical Education 2026;12:e105347 View
  2. Ahmedtelba E, Mitereva S, Ponce M. The Future of Competency-Based Education and Generative-AI: Solving the Scalability-Verification Paradox through Process-Based Assessment. Creative Education 2026;17(10):1851 View
  3. Ugwuanyi R, Jibrin Y, Oladokun B, Okai E, Abah B. Students Use of Generative AI Models for Health Information Seeking: Lessons from a Developing Country in Africa. Journal of Hospital Librarianship 2026:1 View