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.