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Effectiveness of ChatGPT for Clinical Scenario Generation: A Qualitative Study
Faezeh Ghaffari1, Mostafa Langarizadeh1, Ehsan Nabovati2
1Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Archives of Academic Emergency Medicine
|June 9, 2025
Summary
ChatGPT can generate medical simulation scenarios quickly. Expert review is crucial to ensure accuracy and educational alignment, highlighting the need for refinement in AI-assisted medical education tools.
Area of Science:
- Medical Education Technology
- Artificial Intelligence in Healthcare
- Simulation-Based Learning
Background:
- Simulation-based learning is a key methodology in medical education.
- Developing realistic simulation scenarios presents a significant challenge for faculty.
- The integration of artificial intelligence tools like ChatGPT is an emerging area.
Purpose of the Study:
- To evaluate the capability of ChatGPT (GPT-4) in generating realistic clinical simulation scenarios.
- To assess the utility of AI-generated scenarios for faculty in medical education.
- To identify areas for improvement in AI-generated medical simulation content.
Main Methods:
- Qualitative research design utilizing thematic analysis.
- Two-phase study: scenario generation by ChatGPT and expert validation.
- ChatGPT (GPT-4) created cardiovascular scenarios; five experts reviewed them.
Main Results:
- ChatGPT generated clinical scenarios in under 5 seconds per case.
- Experts identified six key themes: clinical accuracy, learning objectives, logical flow, realism, competency alignment, and difficulty.
- While scenarios were deemed realistic and guideline-adherent, experts noted errors and areas for refinement.
Conclusions:
- ChatGPT shows potential as a tool for creating clinical simulation scenarios.
- Expert review and iterative refinement are essential for ensuring accuracy and educational standards.
- AI-generated content requires validation to meet clinical and educational requirements.
Keywords:
Artificial intelligenceComputer simulationEducationGenerative artificial intelligencemedicalMore Related Videos
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