Artificial Intelligence in Health Professions Education: Qualitative Study of Student Experiences
Clinical Snapshot
PICO Framework
| P — Population | Health professions students at University of Ottawa who reported using AI in their studies (n=51) |
| I — Intervention | Use of artificial intelligence tools in educational contexts |
| C — Comparator | Not applicable (qualitative descriptive study) |
| O — Outcomes | Student experiences, usage patterns, perceptions of AI tools, and recommendations for training |
Bottom Line
This qualitative study of 51 health professions students reveals widespread adoption of AI tools, particularly ChatGPT, for educational purposes including knowledge acquisition, skill development, and academic writing. Students demonstrate critical evaluation skills and view AI as complementary rather than replacement technology. Key findings indicate students are driven by curiosity and efficiency gains, but require structured guidance for responsible use. The study highlights the urgent need for formal AI literacy training in health education curricula. While methodologically sound with clear practical implications, the study lacks detail on sampling strategy and researcher reflexivity. For Australian health educators, these findings support developing structured AI integration policies and training programs to prepare future healthcare professionals for technology-enhanced practice environments.
Key Findings
P Value: Not applicable - qualitative study
Effect Size: Not applicable - qualitative study
Primary Outcome: ChatGPT identified as most frequently used AI tool among health professions students
Nnt Or Sensitivity: Not applicable - qualitative descriptive study
Confidence Interval: Not applicable - qualitative study
Clinical Application
High feasibility for implementation in health education curricula with appropriate training frameworks Relevant to Australian health education given similar technology adoption patterns; aligns with AHPRA continuing professional development requirements and university quality frameworks Health professions students and educators in university settings
Abstract
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into education and health care, raising questions about how students use these technologies and how AI influences their learning. In health education, understanding these trends is particularly important because student learning directly impacts future clinical skills. OBJECTIVE: This study aimed to explore the use of AI tools by health sciences students at the University of Ottawa. More specifically, it sought to identify the most frequently used AI tools, describe students' usage habits, determine which tools support knowledge acquisition and skill development, and gather students' recommendations for effective strategies to raise awareness and train their peers on the responsible use of AI. METHODS: A qualitative approach was used with students from 10 health professions who reported using AI in their studies. Data were collected through semistructured interviews and an open-ended qualitative online survey. Inductive thematic analysis within an interpretive paradigm was applied to capture patterns, perceptions, and emergent themes. RESULTS: A total of 51 health professions students participated in the study. Most were women between the ages of 20 and 29 years. ChatGPT (OpenAI) emerged as the most frequently used AI tool. Students perceived AI as a complementary tool that facilitated knowledge acquisition, skill development, writing, and problem-solving. AI adoption was driven by curiosity, peer influence, and the desire to improve work efficiency. Students critically evaluated AI results, integrated the tools into their learning processes, and emphasized the importance of technical skills, critical thinking, and digital literacy. Peer learning, hands-on demonstrations, and access to online resources were recommended for effective AI training. CONCLUSIONS: This research demonstrates that health professions students actively use AI tools, particularly ChatGPT, to support learning, skill development, and academic tasks. Although AI is valuable as an educational aid and its use varies by student and context, this highlights the need for structured guidance, critical evaluation skills, and peer-supported training. These findings highlight the importance of thoughtfully integrating AI into educational programs to enhance learning outcomes, foster skill acquisition, and ensure responsible and effective adoption.
References
- 1.Guirguis, M., Fotsing, S., Fevry, J., Landry, C., Bouchard-Lamothe, D., Lacroix, J., & Jalali, A. (2026). Artificial Intelligence in Health Professions Education: Qualitative Study of Student Experiences. Journal of Medical Internet Research, 28(4), e57132. https://doi.org/10.2196/57132
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