As an important policy tool, real-world evidence is the basis for health insurance catalogue adjustment, and relevant policies and regulations have been issued in foreign countries to guide the use of real-world research for health insurance access, but the field of traditional Chinese medicine in China in particular is still in the exploratory stage. Since TCM protocols are widely used in clinical practice and have significant clinical value, this paper takes TCM protocols as an example and systematically constructs a technical pathway based on real-world research to support health insurance access, including clinical needs assessment, basic requirements of protocols, key points for conducting real-world research and evaluating real-world evidence, the process of access, the strategy of access, and the dynamic monitoring of access, with the aim of providing guidance for the application of real-world research in China's health insurance catalogue adjustment. Access to real-world research to provide reference for the application of real-world research in China's health insurance.
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.