The medical education model empowered by digital technologies can effectively promote the optimization and restructuring of teaching resources, the reshaping of knowledge systems, and the development of intelligent teaching modes, all aimed at cultivating medical professionals who can meet the demands of the new era. This study, through a literature review and case analysis, investigates the current application and development trends of digital technologies in medical education both domestically and internationally. It focuses on medical education models supported by digital technologies such as artificial intelligence, big data, virtual reality, and knowledge graphs, and proposes specific implementation pathways for digital empowerment in medical education. The study presents an innovative framework for digital empowerment in medical education, which includes the following components: (1) The digital education innovation model based on the ″Teacher-Student-Knowledge-Space″ relationship; (2)Construction of a multi-level, multi-modal medical knowledge graph; (3)Development of intelligent teaching platforms to reconstruct teaching modes and processes; (4)Application of digital twin technology to form a new educational model that integrates virtual and physical elements; (5)Exploration of a competency-oriented digital clinical education model to comprehensively improve teaching quality and learning outcomes. In the future, it is essential to further strengthen top-level design and the integration of multiple technologies, to construct a digital medical education system that fosters the collaborative development of medicine, education, industry, and research, thereby providing strong support for the implementation of the Healthy China strategy.
Xu Xiaowei
,
Tang Lin
,
Gui Hang
,
Ma Chao
,
Li Jiao
,
Wang Chen
. Research on the innovative model of digital empowerment in medical education[J]. Chinese Journal of Medical Education, 2025
, 45(3)
: 161
-166
.
DOI: 10.3760/cma.j.cn115259-20241215-01310
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