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Using ChatGPT for medical education: the technical perspective
Kwan Yin Chan1, Tsz Hon Yuen2, Michael Co3
1Department of Computer Science, University of Hong Kong, Pokfulam, Hong Kong. kychan@cs.hku.hk.
BMC Medical Education
|February 7, 2025
Summary
The second generation of Bennie and the Chats, a chatbot utilizing ChatGPT, enhances virtual bedside teaching. This AI tool improves learning effectiveness and offers flexible, expandable improvements for clinical history-taking skills training.
Area of Science:
- Medical Education Technology
- Artificial Intelligence in Healthcare
- Clinical Skills Training
Background:
- The COVID-19 pandemic necessitated remote learning solutions, leading to the development of the Bennie and the Chats chatbot for clinical history-taking skills.
- Initial chatbot versions faced limitations due to preset responses, highlighting the need for more advanced AI capabilities.
- Advancements in AI, particularly large language models like ChatGPT, presented an opportunity to create a more sophisticated and flexible educational tool.
Purpose of the Study:
- To evaluate the impact of an AI-powered chatbot on learning efficacy and student experiences in virtual bedside teaching.
- To explore the potential of this chatbot in fostering international teaching collaborations.
- To compare the usability and flexibility of the new chatbot generation against its predecessor.
Main Methods:
- A mixed-method design combining quantitative and qualitative approaches was employed.
- Quantitative data was gathered through a cross-territory virtual bedside teaching survey between the University of Hong Kong and the National University of Singapore.
- Qualitative data was collected via comparative analysis of chatbot versions, with statistical analysis including descriptive statistics and Spearman's Correlation.
Main Results:
- Over 75% of students found virtual bedside teaching enhanced their learning effectiveness and experience.
- 82.2% of students reported gaining broader disease experience through inter-territory case exchange.
- The enhanced chatbot demonstrated superior usability and flexibility compared to the previous version.
Conclusions:
- AI-powered chatbots represent a revolutionary advancement in virtual bedside teaching, offering significant advantages over traditional methods.
- This technology facilitates international collaboration in medical education.
- Chatbot-based training for history-taking skills is a viable supplementary tool for conventional bedside teaching.
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