1.Progress in the national talent training program for inheritance of characteristic traditional Chinese medicine technology
Huayao CHENG ; Yiqun LIU ; Heling MA ; Xiaohua CHENG ; Yunjie XU ; Peipeng WEI ; Facheng YANG
Chinese Journal of Primary Medicine and Pharmacy 2021;28(5):791-796
To alleviate the shortage of excellent talents of traditional Chinese medicine (TCM), the State Administration of Traditional Chinese Medicine has decided to cultivate a group of talents with strong theoretical foundation, rich practical experience and exquisite skills who would like to devote themselves to TCM technology research. The national talent training program for inheritance of characteristic TCM technology is a major breakthrough in the history of new China in the cultivation of high-level TCM technology talents. A retrospective analysis was performed on the national talent training program for inheritance of characteristic TCM technology hold in training bases from Beijing, Shanghai, Guangdong Province, Jiangsu Province, Anhui Province, Xinjiang Uygur Autonomous Region, Inner Mongolia Autonomous Region, Heilongjiang Province, Yunnan Province, Sichuan Province, Shaanxi Province and Fujian Province. Based on the completion assessment work of 2014 and 2015 national talent training program for inheritance of characteristic TCM technology, and after knowledge exchange and discussion with the training subjects from 30 provinces and some teaching experts in the field of characteristic TCM technology, this paper summarizes the work of the national talent training program for inheritance of characteristic TCM technology. After trained in bases in China, training subjects' theoretical knowledge and practical skills as well as their comprehensive capacity have been greatly promoted. At the same time, there are also some problems and shortages. For example, characteristic TCM technology in some training bases is not prominent enough, some characteristic TCM technologies are not well inherited, and the affiliations of some training subjects do not pay enough attention to it. All of these problems should be solved and improved in future work.