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OSCEai: personalized interactive learning for undergraduate medical education
Eddie Guo1, Rashi Ramchandani2,3, Ye-Jean Park4
1Cumming School of Medicine, University of Calgary, Alberta, Canada.
The OSCEai platform, a large language model tool, effectively enhances undergraduate medical education by simulating clinical encounters. Students highly rated its usability, realistic interactions, and self-paced learning features.
Area of Science:
- Medical Education Technology
- Artificial Intelligence in Healthcare
- Clinical Skills Simulation
Background:
- Undergraduate medical education requires innovative tools to bridge theoretical knowledge and practical application.
- Traditional teaching methods may not fully meet the demands of modern medical training.
- Simulated clinical encounters offer a safe and effective learning environment.
Purpose of the Study:
- To evaluate the effectiveness of OSCEai, a large language model-based platform, in enhancing undergraduate medical education.
- To assess student perceptions of OSCEai's usability, utility, and overall experience.
Main Methods:
- Development of a web-based application, OSCEai, simulating clinical encounters.
- Anonymized survey administered to undergraduate medical students (Class of 2026) post-use.
- Analysis of survey data focusing on usability, utility, learning experience, and comparison to traditional methods.
Main Results:
- OSCEai was highly valued for providing on-demand data (33/37), supporting self-paced learning (30/37), and offering realistic patient interactions (29/37).
- Ease of use and content quality received high ratings (4.73/5 and 4.70/5, respectively).
- Overall reception was favorable (4.62/5), with positive comparisons to lecture-based teaching, despite minor feedback on case representativeness and functionality clarification.
Conclusions:
- The OSCEai platform addresses a need in medical training with its scalable, interactive, and personalized approach.
- Integration of AI-driven simulation tools like OSCEai can significantly enhance the quality and efficacy of medical curricula.
- Findings support the adoption of advanced technologies to improve medical student learning outcomes.
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