Wenhang Su, Shenting Zhang, Shaohua Chen
Department of Education, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Zhejiang University School of Public Health, Hangzhou, Zhejiang, China.
Med Teach. 2025 Sep;47(9):1535-1543. doi: 10.1080/0142159X.2024.2445056. Epub 2025 Jan 8.
Medical professionalism education is of paramount importance to the development of medical careers and medical students. Currently, there is a need for more research in China on the integration of artificial intelligence (AI) and medical professionalism education.
For this study, we collected 44 written reflections from first-year postgraduate students of clinical medicine in China during the spring semester of 2024 on the prospect of applying AI in conjunction with medical professionalism education. The data were transcribed, coded, and analyzed thematically. A framework for interpretation was provided in the form of a literature review.
The findings indicate that Chinese medical students hold divergent views on the potential integration of AI with medical professionalism education. These perspectives encompass both the current paths of development and predictions of future trends. Thematic analysis was conducted using NVivo14, resulting in the identification of four themes: Technology application and medical ethicsDoctor-patient relationship and communicationEducation and career developmentSocial responsibility and public interest.
The study's findings underscore the potential benefits of AI in medical professionalism education, as perceived by Chinese medical students. These benefits could significantly enhance the quality and effectiveness of medical education. However, the students also highlighted potential risks and the need for careful oversight and management, indicating the practical implications of these findings for the future of medical education.
医学职业素养教育对医学事业和医学生的发展至关重要。目前，中国在人工智能（AI）与医学职业素养教育融合方面需要更多研究。
在本研究中，我们收集了中国2024年春季学期临床医学专业一年级研究生关于将AI应用于医学职业素养教育前景的44篇书面反思。对数据进行转录、编码并进行主题分析。以文献综述的形式提供了解释框架。
研究结果表明，中国医学生对AI与医学职业素养教育的潜在融合持有不同观点。这些观点既包括当前的发展路径，也包括对未来趋势的预测。使用NVivo14进行主题分析，确定了四个主题：技术应用与医学伦理、医患关系与沟通、教育与职业发展、社会责任与公共利益。
该研究结果强调了中国医学生所认为的AI在医学职业素养教育中的潜在益处。这些益处可显著提高医学教育的质量和效果。然而，学生们也强调了潜在风险以及仔细监督和管理的必要性，表明这些研究结果对医学教育未来的实际影响。
