数字技术与智能应用的持续渗透正在重塑医疗健康服务的知识生产与服务供给方式，中医药在慢病管理与全周期健康保障中的服务形态也面临结构性转型需求。文章围绕5P医学模式所强调的预测性、预防性、个体化、参与性与精准性目标，以中医药知识资源数字化与智慧服务发展现状为切入点，系统分析了中医药在知识动态组织和智能管理层面面临的现实困境，并从技术条件、知识结构与服务场景等维度剖析其形成机理。在此基础上，构建了面向5P医学模式的中医药知识动态管理与智慧服务体系框架，通过多层级知识聚合、动态知识图谱建模与人机协同反馈机制，实现知识组织与服务供给的协同演进，为中医药智慧服务的规范化与可持续发展提供路径支撑。

The sustained penetration of digital technologies and intelligent applications is reshaping the modes of knowledge production and service provision in healthcare systems. Within this context, traditional Chinese medicine (TCM) is encountering a structural transformation imperative in the domains of chronic disease management and full-cycle health protection. This paper anchored in the predictive, preventive, personalized, participatory, and precision-oriented principles of the 5P medical model, takes the current landscape of TCM knowledge resource digitization and intelligent service development as its analytical entry point. It systematically examines the practical challenges confronting TCM in the dynamic organization and intelligent management of knowledge, and further elucidates the underlying formation mechanisms across technological conditions, knowledge structures, and service scenarios. On this basis, a 5P-oriented framework for the dynamic management and intelligent service of TCM knowledge is developed. By integrating multi-level knowledge aggregation, dynamic knowledge graph modeling, and human-machine collaborative feedback mechanisms, the framework enables the coordinated evolution of knowledge organization and service provision, offering a structured pathway to support the standardization and sustainable development of intelligent TCM services.