本文面向贯通“院校医学教育—毕业后医学教育—继续医学教育”的全周期医学教育体系，针对教学资源更新滞后、临床实践机会不均、标准化培养与个体化发展张力、以及跨阶段管理分段割裂等现实瓶颈，提出“复旦中山惠生智育”元宇宙平台总体建设思路方案：以扩展现实与人工智能为关键技术底座，构建医学知识生态系统、虚拟教学场景、综合教学智能体、全周期教学管理中枢四大版块，形成知识供给、情境训练、过程留痕、评测画像、精准导学、治理改进的闭环路径。平台早期实践示例以难定性肺结节多学科会诊元宇宙教学单元为代表，面向住院医师开展影像判读、风险分层、共识形成与医患沟通的情境化训练，并支持上海与厦门两院区同步进入同一虚拟空间完成同口径教学与复盘，从而为后续开展客观效果评估与可复制推广提供工程化框架与证据链基础。

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approach of the "Huisheng Intelligent Education" metaverse platform to address current challenges, including outdated educational resources, unequal clinical practice opportunities, the tension between standardized training and personalized development, and fragmented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.