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Using ChatGPT in the Development of Clinical Reasoning Cases: A Qualitative Study
Kristin Wong1, Alla Fayngersh1, Christin Traba2
1Medicine, Rutgers University New Jersey Medical School, Newark, USA.
Artificial intelligence (AI) tools like ChatGPT can efficiently create clinical reasoning cases for medical students. However, educators must carefully review AI-generated content for accuracy and potential biases.
Area of Science:
- Medical Education
- Artificial Intelligence in Healthcare
- Clinical Reasoning
Background:
- The integration of artificial intelligence (AI) into medical education is under active discussion.
- Evaluating the practical applications and ethical considerations of AI in training future physicians is crucial.
Purpose of the Study:
- To explore the advantages and disadvantages of using ChatGPT for developing clinical reasoning cases.
- To assess the utility of AI in enhancing medical student education.
Main Methods:
- Qualitative research involving experienced medical faculty.
- Faculty utilized ChatGPT 3.0 to generate clinical reasoning cases.
- Focus groups were conducted to analyze faculty experiences and case quality.
Main Results:
- ChatGPT was found to be user-friendly and efficient for case generation.
- Faculty reported challenges in achieving specific educational objectives and noted a lack of creativity.
- Medical inaccuracies and fabricated information were identified, necessitating significant editing.
Conclusions:
- ChatGPT offers value in creating medical curriculum content, particularly clinical reasoning cases.
- Comprehensive review and verification of AI-generated content are essential.
- Developing effective prompting strategies and addressing potential biases are key for future AI integration.
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