All elements and refinements had been built in ontology with protégé 4.1, which can be used to record over 20 classic Chinese medicine books in related author, publisher, storage site, edition, form and arrangement of lines in calligraphy, and etc. It also realized the graphical display based on ontology. It gave brief analysis on elements which had been used or without using. Studies showed that Web Ontology Language (OWL) can express all elements of TCM literatures clearly. This study indicated that element refinements should be considered to add in the amendment of ISO International Standards application for further improvement.

It is helpful to improve continuing education of TCM through learning American CME. The author described the strength and characteristic of American CME from the organization structure, the project organizer, the Physician's credit system and the trend of CME programs in the future. Discuss how to improve continuing education of TCM from changing the idea of sponsor, diversifying the ways of training and to build effect of evaluation mechanism.

Outpatient information management system is an important part of hospital information system,which plays an important role in hospital management,patient treatment,medical insurance reimbursement and settlement.This study integrated the application modes of big data,cloud computing,Internet of things and other cutting-edge technologies of artificial intelligence,focused on the intelligent decision support and whole-process simplified management of the diagnosis and treatment behavior of clinical TCM physicians,and developed a cloud intelligent TCM outpatient system for primary medical care.The system has intelligent medical functions such as intelligent prescription monitoring driven by the rule engine and intelligent recommendation of traditional Chinese medicine knowledge.It seamlessly connects with the intelligent four-diagnosis instrument for information collection and medical order input,and realizes the cloud storage,computing,distribution,management,service and outpatient process,multi-directional and convenient management mode.

Medical cases are an important mean to record the clinical treatment process for TCM doctors. With the help of big data processing technology and other means, digging and using of medical cases information is of great significance for the inheritance of TCM. TCM Cases Cloud integrates voice recognition, optical character recognition (OCR), four-diagnosis instrument of TCM and other intelligent information collection technologies, as well as abundant algorithms such as association analysis, Bayes, hierarchical clustering, etc. to dig the laws of syndrome differentiation, selection of prescriptions, medication, acupoint, etc. of famous TCM doctors in medical records. This article briefly introduced the platform from five aspects: the excavation of the experience of famous TCM doctors in modern times, the summary of the academic thoughts of ancient medical cases, the analysis of the law of diagnosis and treatment of specialized diseases, the regularity of a single drug and drug pairs, and the exploration of the compatibility of TCM prescriptions.

With the rapid development of science and technology, more creative methods have been applied to the inheritance mode of traditional Chinese medicine, such as studying the inheritance process of famous doctorsin an objective and rigorous way. The bottleneck of information transmission from famous doctors is to collect data, process data, apply algorithms, analyze and summarize data. The integration of artificial intelligence and big data deep learning algorithm knowledge mapping technology and other technical methods has brought technological innovation for the inheritance of famous doctors. With such development, the team of the research center of TCM grand health intelligence, Institute of Information on Chinese Medicine, China Academy of Chinese Medical Science, has carried out a series of professional application system research in the field of traditional Chinese medicine, centering on the planning and inheritance of famous doctors. We developed the ancient and modern medical case cloud platform, medical big data analysis platform, cloud medical APP, and famous doctor inheritance workstation. In such way, the problems were solved of low efficiency of medical case collection and the lack of objective data support and information barriers in the experience summary of famous doctors. The artificial intelligence techniques are to promote the inheritance of famous doctors' experience and improve the teaching ability and efficiency.