This paper focuses on the fact that traditional Chinese medicine(TCM) diagnosis involves extensive processing of "information" rather than mere raw "data", and argues that the scientific modernization of TCM should not be simply equated with datafication of TCM. Based on Prof. Duan Yucong‘s DIKWP model(Data-Information-Knowledge-Wisdom-Purpose) and its associated theories of semantic mathematics and white-box evaluation of artificial consciousness, we highlight the advantages of TCM‘s semantic system. We propose a technological roadmap of "Concept Space→Semantic Space→Proactive AI→Proactive Medicine" to achieve lossless semantic integration between Chinese and Western medicine. By analyzing the differences between the TCM mode of "information-energy field" regulation and the Western mode of "data-information field" processing, and incorporating the latest domestic and international advances in semantic computing, AI semantic modeling, and integrative medicine policies, we put forward a DIKWPaaS-centered proactive medicine information regulation service architecture. A five-layer semantic framework based on "Dao, De, Ren, Yi, Li" is constructed to explain the role of information-field modulation in proactive AI systems. Finally, the paper explores future directions for the semantic intelligence evolution of traditional chinese medicine TCM. It elaborates on the semantic processing advantages of TCM theory, the mutual embeddedness of subject and object, and its goal-oriented nature. It also discusses the implications of these aspects for constructing proactive AI models, and further highlights their significance for building semantic sovereignty aimed at sovereign AI development rooted in excellent Chinese traditional culture.