| 引用本文：钟华,范少萍,杨涛莲,等.基于PMC指数的我国卫生健康科技创新政策量化评价及优化路径[J].中国卫生政策研究,2025,18(3):24-31 |
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| 基于PMC指数的我国卫生健康科技创新政策量化评价及优化路径 |
| 投稿时间：2025-02-01 PDF全文浏览 HTML全文浏览 |
| 钟华1,范少萍1,杨涛莲2,安新颖1 |
| 1.中国医学科学院医学信息研究所 北京 100020 ;2.中国医学科学院 北京协和医学院 北京 100730 |
| 摘要:目的:总结目前我国卫生健康科技创新政策的现状与不足,为政策制定和完善提供参考。方法:采用文本挖掘方法对“十三五”以来国家及地方层面出台的24份卫生健康科技创新相关政策文件进行梳理,建立卫生健康科技创新政策PMC指数评价模型,通过9个一级变量和43个二级变量对卫生健康科技创新政策进行量化分析。结果:24项政策中,2项等级为完美,8项等级为优秀,14项等级为可接受。结论和建议:我国卫生健康科技创新政策基本完善,但仍有优化空间,可从聚焦关键核心技术、强调临床研究和转化、推进数智战略等方面进一步完善。 |
| 关键词:卫生健康 科技创新 政策文本 政策评价 PMC指数 |
| 基金项目:全国教育科学规划教育部重点课题“质量导向的医学高校学术表现评价研究”(DLA200362) |
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| Quantitative evaluation and optimization path of China's health science technology innovation policies based on PMC index |
| ZHONG Hua1, FAN Shao-ping1, YANG Tao-lian2, AN Xin-ying1 |
| 1.Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China ;2.Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China |
| Abstract:Objective:To summarize the current situation and shortcomings of China's health technology innovation policies, and provide reference for policy formulation and improvement. Methods:Text mining was used to sort out 24 policy documents related to health technology innovation issued by the national and provincial levels since the 13th Five Year Plan period. A PMC index evaluation model for health technology innovation policies was established, and a quantitative analysis of health technology innovation policies was conducted through 9 primary indicators and 43 secondary indicators. Results:Among the 24 policies, 2 were rated as perfect, 8 were rated as excellent, and 14 were rated as acceptable. Conclusions and Suggestions:China's policies on health and medical science and technology innovation have been basically improved. They can be further refined by focusing on core and key technologies, emphasizing clinical research and transformation, and advancing digital and intelligent strategies. |
| Key words:Health Science technological innovation Policy text Policy evaluation PMC index |
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