医疗机构中药制剂创新和持续发展能力评价研究

Evaluation of innovation and sustainable development ability for TCM preparations in medical institutions

关键词:  医疗机构中药制剂  创新能力  持续发展  评价体系  层次分析法  反向传播神经网络

Key words:  TCM preparations in medical institutions  Innovation ability  Sustainable development  Evaluation system  Analytic hierarchy process  Back-propagation neural network

摘要:

目的 对医疗机构中药制剂创新和持续发展能力进行综合评价,为行政管理部门决策及各医院中药制剂可持续发展提供参考。方法 以浙江省133家医疗机构中药制剂调研数据为对象,利用层次分析法构建医疗机构中药制剂创新和持续发展能力评价体系,通过反向传播神经网络构建中药制剂室/中心评价体系预测模型。结果 构建的医疗机构中药制剂创新和持续发展能力评价指标体系包含4项二级指标以及19项三级指标,其中研发品种数、超百万品种数、注册品种数、研发方式、制剂室面积指标的权重值较高,分别为 0.15758、0.12928、0.09343、0.07879和0.07458。熵权法结合层次分析法的指标权重构建反向传播神经网络,Levenberg-Marquardt算法和Scaled Conjugate Gradient算法训练模型总体相关系数分别为0.98983和0.9348。结论 本研究构建了一个科学有效的医疗机构中药制剂创新和持续发展能力综合评价体系,可实现对医疗机构中药制剂综合能力的预测评价。

Abstract:

ABSTRACT： OBJECTIVE To evaluate the innovation and sustainable development ability of 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, AHP 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 BP 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 have higher weight values, which are 0.15758, 0.12928, 0.09343, 0.07879 and 0.07458, respectively. The entropy weight method and AHP index weights were used to construct the BP 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 0.9348, respectively. CONCLUSION This study established 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.