Under the global background of the accelerated reconstruction of the smart healthcare ecosystem, artificial intelligence technology is deeply driving the transformation of the healthcare paradigm from experience-driven to data-knowledge dual-wheel driven. As a treasure of Chinese civilization, the core value of traditional Chinese medicine lies in the individualized diagnosis and treatment system based on "syndrome differentiation and treatment". The integration of multimodal diagnosis and treatment data and the construction of intelligent decision-making models will become the key path to break through the bottleneck of the modernization of traditional Chinese medicine. This research is based on the strategic orientation of "Healthy China 2030" and relies on the national science and technology major project of the team. It explores the establishment of a "three-stage four-dimensional" model of "data layer - knowledge layer - decision-making layer" and "feature extraction - relationship reasoning - dynamic correction - clinical verification" through a closed-loop verification mechanism of "human-machine collaboration - knowledge iteration", to promote the digital and intelligent transformation of traditional Chinese medicine.
There is huge clinical value in real world data from traditional Chinese medicine (TCM), but the real world study of TCM faces many challenges, because of its diverse data types, different standards, and serious data island phenomenon. Data governance is the key to transforming real world data into real world evidence. As the last step of data governance, data transformation has not been standardized. The key technologies and methods of data transformation, including data classification, natural language processing, standardization, data system construction, and derivative variables, will be discussed in this article based on the characteristics of real world data of TCM and the current development status of data transformation technology. At the same time, the suggestions of safety control and quality control of data transformation are put forward, and the data transformation system of real world study of TCM is preliminarily constructed, combined with the characteristics of TCM data. It is hoped that this paper can provide references for future real world studies of TCM.