ArticleBMC medical education2025
Health profession students' perceptions of ChatGPT in healthcare and education: insights from a mixed-methods study.
Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The impact of generative artificial intelligence on clinical skills and knowledge acquisition in medical undergraduates: a systematic review and meta-analysis.BMC medical education · 2026Pooled it
- Application of AI-Generated Content in Medical Education: Systematic Review of the Impact on Critical Thinking Abilities of Medical Students.JMIR medical education · 2026Pooled it
- Bridging Borders, Bridging Barriers: Artificial Intelligence for Dental Education.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026Article
- From hype to reality: the feasibility, dilemmas, and solutions of Gen AI in medical education from students' perspectives.BMC medical education · 2026Article
- Conversational artificial intelligence in the operating room: an exploratory cross-sectional single-center survey among anesthesiology residents.BMC anesthesiology · 2026Observational
- Sufficient and necessary conditions for ChatGPT adoption in medical education: a combined partial least square-structural equation modelling and necessary condition analysis.BMC medical education · 2026Article
- Health Professional Students' Use of Generative Artificial Intelligence During Clinical Placements: Cross-Sectional Online Survey Study.JMIR medical education · 2026Article
- Educational Applications of AI-Based Chatbots in Nursing: A Scoping Review.Nursing reports (Pavia, Italy) · 2026Review
- Psychological Inclinations and Practical Utility of ChatGPT Among Undergraduate Dental Students at a Dental School in Karachi: A Cross-Sectional Observational Study.Health science reports · 2026Article
- Applications, attitudes and ethical considerations of Generative Artificial Intelligence (Gen AI) in nursing education: a scoping review.BMC nursing · 2026Article
- Physiotherapy students' acceptance of AI-based chatbots (including ChatGPT) in education: a multi-institutional study from Turkey.BMC medical education · 2026Article
- Integrating AI into undergraduate medical education: an exploration of learner-centered approaches through AI.Frontiers in medicine · 2026Article
- ChatGPT and higher education in Latin America: measuring perceived academic skills.Frontiers in research metrics and analytics · 2026Article
- Whose Voice is it Anyway?Perspectives on medical education · 2026Article
- ChatGPT in medical education: a cross-sectional analysis of usage, attitudes, perceptions, and practices among Saudi medical students.Frontiers in artificial intelligence · 2026Article
- Undergraduate nursing students' attitudes and needs regarding the use of generative artificial intelligence in professional learning: a qualitative study.Frontiers in public health · 2026Article
- Prevalence & utilisation of AI chatbots for medical education among students of medical colleges.The Indian journal of medical research · 2025Article
- Exploring the Challenges and Opportunities of ChatGPT in University Teaching for Health Sciences: A Narrative Review.Cureus · 2025Review
- The Usability of Neurological Occupational Therapy Case Studies Generated by ChatGPT.Healthcare (Basel, Switzerland) · 2025Article
- Generative artificial intelligence in physiotherapy education: great potential amidst challenges- a qualitative interview study.BMC medical education · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
objectiveThe aim of this study was to investigate the perceptions of health profession students regarding ChatGPT use and the potential impact of integrating ChatGPT in healthcare and education.
backgroundArtificial Intelligence is increasingly utilized in medical education and clinical profession training. However, since its introduction, ChatGPT remains relatively unexplored in terms of health profession students' acceptance of its use in education and practice.
designThis study employed a mixed-methods approach, using a web-based survey.
methodsThe study involved a convenience sample recruited through various methods, including Faculty of Medicine announcements, social media, and snowball sampling, during the second semester (March to June 2023). Data were collected using a structured questionnaire with closed-ended questions and three open-ended questions. The final sample comprised 217 undergraduate health profession students, including 73 (33.6%) nursing students, 65 (30.0%) medical students, and 79 (36.4%) occupational therapy, physiotherapy, and speech therapy students.
resultsAmong the surveyed students, 86.2% were familiar with ChatGPT, with generally positive perceptions as reflected by a mean score of 4.04 (SD = 0.62) on a scale of 1 to 5. Positive feedback was particularly noted with respect to ChatGPT's role in information retrieval and summarization. The qualitative data revealed three main themes: experiences with ChatGPT, its impact on the quality of healthcare, and its integration into the curriculum. The findings highlight benefits such as serving as a convenient tool for accessing information, reducing human errors, and fostering innovative learning approaches. However, they also underscore areas of concern, including ethical considerations, challenges in fostering critical thinking, and issues related to verification. The absence of significant differences between the different fields of study indicates consistent perceptions across nursing, medicine, and other health profession students.
conclusionsOur findings underscore the necessity for continuous refinement to enhance ChatGPT's accuracy, reliability, and alignment with the diverse educational needs of health professions. These insights not only deepen our understanding of student perceptions of ChatGPT in healthcare education but also have significant implications for the future integration of AI in health profession practice. The study emphasizes the importance of a careful balance between leveraging the benefits of AI tools and addressing ethical and pedagogical concerns.
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