Perceptions and Earliest Experiences of Medical Students and Faculty With ChatGPT in Medical Education: Qualitative Study
This study provides valuable insights into the perceptions and experiences of medical faculty and students regarding the use of newly introduced large language models like ChatGPT in medical education. While the benefits of ChatGPT were recognized, participants also expressed concerns and limitations requiring further studies for effective integration into medical education, exploring the impact of ChatGPT on learning outcomes, student and faculty satisfaction, and the development of critical thinking skills.
Authors
- Rupesh Raina (ORCID: https://orcid.org/0000-0003-3892-8376)
- Ali Alhaboob (ORCID: https://orcid.org/0000-0003-2126-7874)
- Hayfaa Wahabi (ORCID: https://orcid.org/0000-0003-2304-3364)
- Khalid H. Malki (ORCID: https://orcid.org/0000-0002-5986-7843)
- Rasha Assiri (ORCID: https://orcid.org/0000-0001-8946-4618)
- Jaffar A. Al‐Tawfiq (ORCID: https://orcid.org/0000-0002-5752-2235)
- Ayman Al‐Eyadhy (ORCID: https://orcid.org/0000-0002-6051-9125)
- Fadi Aljamaan (ORCID: https://orcid.org/0000-0001-8404-6652)
- Khalid Alhasan (ORCID: https://orcid.org/0000-0002-4291-8536)
- Amr Jamal (ORCID: https://orcid.org/0000-0002-4051-6592)
- Ruaim Muaygil (ORCID: https://orcid.org/0000-0002-9755-6181)
- Noura Abouammoh (ORCID: https://orcid.org/0000-0002-1951-8323)
- Mohamad‐Hani Temsah (ORCID: https://orcid.org/0000-0002-4389-9322)
- Ibraheem Altamimi (ORCID: https://orcid.org/0000-0002-5149-0877)
- Mona Soliman (ORCID: https://orcid.org/0000-0002-6112-2891)
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Cleveland Clinic (US)
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- Saudi Aramco Medical Services Organization (SA)
- King Faisal Specialist Hospital & Research Centre (SA)
- King Saud Medical City (SA)
- King Saud University (SA)
- Indiana University School of Medicine
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- JMIR Medical Education
- Published
- 2025-02-20
- DOI
- https://doi.org/10.2196/63400
- Citations
- 30
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 19.63