Open Access
yu.qing@zs-hospital.sh.cnZhang Wen, Master's degree, Attending Physician, E-mail: zhang.wen1@zs-hospital.sh.cn;
Corresponding author: Yu Qing, M.D., Ph.D., Chief Physician, E-mail: yu.qing@zs-hospital.sh.cn
Open Access
yu.qing@zs-hospital.sh.cnZhang Wen, Master's degree, Attending Physician, E-mail: zhang.wen1@zs-hospital.sh.cn;
Corresponding author: Yu Qing, M.D., Ph.D., Chief Physician, E-mail: yu.qing@zs-hospital.sh.cn
This paper addresses the full-cycle medical education system that integrates "undergraduate medical education—postgraduate medical education—continuing medical education." It proposes the design and development approach of the "Huisheng Intelligent Education" metaverse platform to address current challenges, including outdated educational resources, unequal clinical practice opportunities, the tension between standardized training and personalized development, and fragmented management across different stages. The platform leverages extended reality and artificial intelligence as core technologies to construct four key components: a medical knowledge ecosystem, virtual teaching scenarios, a comprehensive teaching intelligence system, and a full-cycle teaching management hub. These components form a closed-loop path for knowledge delivery, situational training, process tracing, assessment and feedback, personalized guidance, and governance improvement. The early practice example is the metaverse-based multi-disciplinary team (MDT) teaching unit for difficult-to-diagnose pulmonary nodules, aimed at training residents in image interpretation, risk stratification, consensus formation, and doctor-patient communication. It supports synchronized participation of residents from both Shanghai and Xiamen hospitals in the same virtual space, providing consistent teaching and review, thus laying the foundation for subsequent objective evaluations and scalable implementation.
Key Words: full-cycle medical education; training and management; huisheng intelligent education; metaverse platform