ChatGPT in Health Professions Education: Findings and Implications from a Cross-Sectional Study Among Students in Saudi Arabia
The integration of artificial intelligence (AI) tools, such as the chat generative pre-trained transformer (ChatGPT), into health professions education is rapidly accelerating, creating new opportunities for personalized learning and clinical preparation. These tools have demonstrated the potential to enhance learning efficiency and critical thinking. However, concerns regarding reliability, academic integrity, and potential overreliance highlight the need to better understand how healthcare students adopt and perceive these technologies in order to guide their effective and responsible integration into educational frameworks. This nationwide, cross-sectional, survey-based study was conducted between February and April 2024 among undergraduate students enrolled in medical, pharmacy, nursing, dental, and allied health programs in Saudi Arabia. An online questionnaire collected data on ChatGPT usage patterns, satisfaction, perceived benefits and risks, and attitudes toward integrating them into the curricula. Among 1044 participants, the prevalence of ChatGPT use was 69.25% (n = 723). Students primarily utilized the tool for content summarization, assignment preparation, and exam-related study. Key motivators included time efficiency and convenience, with improved learning efficiency and reduced study stress identified as major benefits. Conversely, major challenges included subscription costs and difficulties in formulating effective prompts. Furthermore, concerns regarding overreliance and academic misconduct were frequently reported. In conclusion, the adoption of generative AI tools such as ChatGPT among healthcare students in Saudi Arabia was high, driven by its perceived ability to enhance learning efficiency and personalization. To maximize its benefits and minimize risks, institutions should establish clear policies, provide faculty oversight, and integrate AI literacy into the education of health professionals.
Authors
- Alian A. Alrasheedy (ORCID: https://orcid.org/0000-0003-3617-7425)
- Muhammad Kamran Rasheed (ORCID: https://orcid.org/0000-0001-5007-4145)
- Ibrahim S. Alhomoud (ORCID: https://orcid.org/0009-0000-3346-1223)
- Reema I. Aljasir
- Nouf Alresheedi
- Fay Alonayzan
Institutions
- Qassim University (SA)
Publication Details
- Journal
- International Medical Education
- Published
- 2025-12-30
- DOI
- https://doi.org/10.3390/ime5010006
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00