Developing Medical Education Curriculum Reform Strategies to Address the Impact of Generative AI: Qualitative Study.
Ikuo ShimizuHajime KasaiKiyoshi ShikinoNobuyuki ArakiZaiya TakahashiMisaki OnoderaYasuhiko KimuraTomoko TsukamotoKazuyo YamauchiMayumi AsahinaShoichi ItoEiryo KawakamiPublished in: JMIR medical education (2023)
This study highlights the profound impact of GAI on medical education curricula and provides insights into curriculum reform strategies. Participants recognized the need for GAI literacy, ethical education, and adaptive learning. Further, GAI was recognized as a tool that can enhance efficiency and involve patients in education. The study also suggests that medical education should focus on competencies that GAI hardly replaces, such as clinical experience and communication. Notably, involving both faculty and students in curriculum reform discussions fosters a sense of ownership and ensures broader perspectives are encompassed.
Keyphrases
- medical education
- healthcare
- end stage renal disease
- health insurance
- chronic kidney disease
- newly diagnosed
- ejection fraction
- quality improvement
- prognostic factors
- artificial intelligence
- machine learning
- peritoneal dialysis
- patient reported outcomes
- intellectual disability
- autism spectrum disorder
- nursing students