ArticleJournal of education and health promotion2024
Efficacy of ChatGPT in solving attitude, ethics, and communication case scenario used for competency-based medical education in India: A case study.
Article in Journal of education and health promotion, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Review
- Large language models in sports injury care: a comparative expert evaluation of GPT-4o and GPT-5.BMC sports science, medicine & rehabilitation · 2026Article
- Application of Artificial Intelligence in Medical Education: A Systematic and Narrative Review of Pedagogical Potential and Ethical Implications.Advances in medical education and practice · 2026Review
- Challenges and opportunities of using artificial intelligence in rehabilitation from the perspective of students and professors in the Northeast Iran: A cross-sectional study.Journal of education and health promotion · 2025Article
- ChatGPT and trustworthiness of artificial intelligence in medical education.Journal of education and health promotion · 2025Article
- Nurses' assessment of artificial ıntelligence chatbots for health literacy education.Journal of education and health promotion · 2025Article
- Knowledge, awareness and attitude of healthcare professionals toward the use of ChatGpt: A cross-sectional study.Journal of education and health promotion · 2025Article
- Exploring ChatGPT's potential in the clinical stream of neurorehabilitation.Frontiers in artificial intelligence · 2024Review
- Systematic review of ChatGPT accuracy and performance in Iran's medical licensing exams: A brief report.Journal of education and health promotion · 2024Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCompetency-based medical education (CBME) is a method of medical training that focuses on developing learners' competencies rather than simply assessing their knowledge and skills. Attitude, ethics, and communication (AETCOM) are important components of CBME, and the use of artificial intelligence (AI) tools such as ChatGPT for CBME has not been studied. Hence, we aimed to assess the capability of ChatGPT in solving AETCOM case scenarios used for CBME in India. MATERIALS AND
methodsA total of 11 case scenarios were developed based on the AETCOM competencies. The scenarios were presented to ChatGPT, and the responses generated by ChatGPT were evaluated by three independent experts by awarding score ranging from 0 to 5. The scores were compared with a predefined score of 2.5 (50% accuracy) and 4 (80% accuracy) of a one-sample median test. Scores among the three raters were compared by the Kruskal-Wallis H test. The inter-rater reliability of the evaluations was assessed using the intraclass correlation coefficient (ICC).
resultsThe mean score of solution provided by ChatGPT was 3.88 ± 0.47 (out of 5), indicating an accuracy of approximately 78%. The responses evaluated by three raters were similar (Kruskal-Wallis H
conclusionChatGPT shows moderate capability in solving AETCOM case scenarios used for CBME in India. The inter-rater reliability of the evaluations suggests that ChatGPT's responses were consistent and reliable. Further studies are needed to explore the potential of ChatGPT and other AI tools in CBME and to determine the optimal use of these tools in medical education.
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