Evaluation of Innovation and Sustainable Development Ability for Traditional Chinese Medicine Preparations in Medical Institutions
10.13748/j.cnki.issn1007-7693.20231162
- VernacularTitle:医疗机构中药制剂创新和持续发展能力评价研究
- Author:
Chong YAO
1
;
Liangquan JIA
2
;
Fu YANG
2
;
Weiwei ZU
2
;
Wei ZHU
3
;
Xiaofei ZENG
3
;
Wei SHEN
4
Author Information
1. Affiliated Huzhou Hospital, Zhejiang University School of Medicine (Huzhou Central Hospital), Huzhou 313000, China；Huzhou University, Huzhou 313000, China；Administration of Traditional Chinese Medicine of Zhejiang Province, Hangzhou 310000, China
2. Huzhou University, Huzhou 313000, China
3. Administration of Traditional Chinese Medicine of Zhejiang Province, Hangzhou 310000, China
4. Zhejiang Provincial Hospital of Chinese Medicine, Hangzhou 310000, China
- Publication Type:Journal Article
- Keywords:
traditional Chinese medicine preparations in medical institutions；innovation ability；sustainable development ability ； evaluation system；analytic hierarchy process ； back propagation neural network
- From:
Chinese Journal of Modern Applied Pharmacy
2024;41(10):1415-1421
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE :To evaluate the innovation and sustainable development ability of traditional Chinese medicine(TCM) preparation in medical institutions, and to provide reference for the decision-making of administrative departments and the sustainable development of TCM preparation in hospitals.
METHODS
Based on the information data of 133 medical institutions in Zhejiang Province, analytic hierarchy process was used to construct the evaluation system of innovation and sustainable development ability of TCM preparation of medical institutions, and the prediction model of evaluation system of TCM preparation room/center was built by back propagation neural network.
RESULTS
The evaluation index system for innovation and sustainable development of TCM preparations in medical institutions included 4 second-level indexes and 19 third-level indexes. Among them, the number of varieties developed, the number of over one million varieties, the number of registered varieties, the way of research and development, and the area of preparation room had higher weight values, which were 0.15758, 0.12928,0.09343, 0.07879 and 0.07458, respectively. The entropy weight method and analytic hierarchy process index weights were used to construct the back propagation neural network. The overall correlation coefficients of the training models of the Levenberg-Marquardt algorithm and the Scaled Conjugate Gradient algorithm were 0.98983 and 0.93480, respectively.
CONCLUSION
This study establishes a scientific and effective comprehensive evaluation system for the innovation and sustainable development ability of TCM preparations in medical institutions, which can realize the prediction and evaluation of the comprehensive ability of TCM preparations in medical institutions.
