[Purpose/significance] In the process of traditional Chinese medical record management, there are a lot of problems such as inconformity and insufficient accuracy of the traditional Chinese medical record metadata, which is not conducive to the information retrieval, knowledge sharing and mining of the traditional Chinese medical record knowledge base. This research establishes a standardized traditional Chinese medical record metadata model, which plays an important role in the deep multi-dimensional retrieval, knowledge sharing and mining of traditional Chinese medical records.[Method/process] This paper summarized the relevant standards and metadata standards of current Chinese medicine through literature survey method; by collecting examples of traditional Chinese medicine cases through network survey method, analyzed the contents of medical cases in conjunction with content analysis method, and initially defined the metadata of medical cases elements; then through the field investigation method, observed and visited the Chinese medicine diagnosis and treatment process at the Chinese medicine diagnosis and treatment site, optimized the preliminary defined medical record metadata elements, and obtained the final medical record metadata element set.[Result/conclusion] A medical record metadata model oriented to the knowledge base of Chinese medicine diagnosis and treatment is constructed to fully describe the diagnosis and treatment process of Chinese medicine and provide a reference for the unified metadata of Chinese medicine treatment records.

[Purpose/significance] TCM terminology is the carrier of TCM knowledge and an important part of TCM diagnosis and treatment knowledge base. The research on the standardization of TCM terminology for TCM diagnosis and treatment knowledge base is conducive to improving the quality of medical case data information in TCM diagnosis and treatment knowledge base and promoting TCM culture.[Method/process] This paper determined the scope of terms extraction and selection in TCM diagnosis and treatment knowledge base, constructed the structure of terms standard file, and put forward the strategy of word meaning control according to the problems existing in terms standard, and explained the process of terms extraction and standard file establishment with specific example.[Result/conclusion] The standardization of terms based on TCM diagnosis and treatment knowledge base can greatly improve the utilization efficiency of TCM diagnosis and treatment knowledge base, and promote the modernization and internationalization of TCM.

[Purpose/significance] TCM medical case is an important carrier to record the diagnosis and treatment data. It is of great significance for TCM diagnosis and treatment knowledge sharing, analysis and inheritance to collect medical case data based on metadata and form a data set.[Method/process] We selected and determined of TCM medical case metadata, and referred to the relational database for the conceptual and logical design of the data set, collected, organized and stored TCM medical case data based on case description to form the method of data set.[Result/conclusion] Network and field diagnosis and treatment data collection were conducted based on relatively complete TCM medical case metadata. The formed TCM diagnosis and treatment data set can not only support multi-dimensional diagnosis and treatment information retrieval, but also provide data sources for further diagnosis and treatment data analysis and mining.

[Purpose/significance] In the rapid development of medical informatization, traditional medical information security protection has problems such as data loss and difficulty in sharing. In order to protect health and medical big data better, this paper proposes the construction of a medical blockchain model for the security protection of healthcare big data to solve the problems of centralized storage, untraceability, and vulnerability, and provides solutions for further promoting the application of blockchain technology in the field of health care.[Method/process] This paper built a health care big data information security protection model and system architecture based on blockchain technology, ensured that the medical blockchain data can not be tampered through the PBFT consensus algorithm, and ensured the safety of personal medical information through asymmetric encryption technology, then encouraged all nodes to join the medical blockchain through an incentive mechanism.[Result/conclusion] Compared with the previous medical information protection methods, the health care big data information security protection model based on blockchain technology has the advantages of data traceability, tamper resistance, equal sharing of information, security and credibility, etc. It can promote the development of health care digitalization better.