| 引用本文：吕倩鹏, 刘智勇.基于PMC指数模型的我国数字健康政策量化评价[J].中国卫生政策研究,2024,17(10):59-67 |
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| 基于PMC指数模型的我国数字健康政策量化评价 |
| 投稿时间：2024-07-11 修订日期：2024-09-10 PDF全文浏览 HTML全文浏览 |
| 吕倩鹏, 刘智勇 |
| 华中科技大学同济医学院医药卫生管理学院 湖北武汉 430030 |
| 摘要:目的：对我国的数字健康政策进行量化评价，为未来政策的制定与优化提供参考。方法：使用ROSTCM6软件对新医改以来国家层面发布的130项数字健康政策进行文本挖掘，构建包含9个一级变量和42个二级变量的PMC指数模型评价体系，筛选有代表性的20项政策文本进行量化分析。结果：20项政策的PMC平均得分为5.47，其中1项达到完美标准，12项被评为优秀，7项处于可接受水平，没有不良政策。结论和建议：我国数字健康政策总体表现优秀，但仍有改善空间。建议强化政策时效，实时监测政策环境动态；明确政策参与主体角色，建立多元协同治理机制；增加经济激励措施，推动数字技术创新，并关注政策平衡性，以促进数字健康产业发展。 |
| 关键词:数字健康 政策评价 文本挖掘 PMC指数模型 |
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| A quantitative evaluation of China's digital health policy based on PMC index model |
| LYU Qian-peng, LIU Zhi-yong |
| School of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan Hubei 430030, China |
| Abstract:Objective：To quantitatively evaluate China's digital health policies since the new healthcare reform, and provide recommendations for future policy formulation and optimization. Methods：Employing ROSTCM6 software, we conducted text mining analysis on 130 national-level digital health policies. Based on the findings, we constructed a PMC Index Model evaluation system comprising 9 primary variables and 42 secondary variables. From these policies, 20 representative texts were selected for in-depth quantitative analysis. Results：The average PMC score of the 20 policies analyzed was 5.47, indicating overall excellence. One policy achieved the perfect standard, 12 were rated as excellent, and 7 fell within the acceptable range. Notably, no policies were classified as inadequate. Conclusion：While China's digital health policies demonstrate considerable success, there are opportunities for improvement. It is crucial to fortify the temporal effectiveness of policies and implement systems for continuously monitoring the dynamic shifts within the policy environment. Furthermore, clarifying the roles of various policy actors and establishing a diversified collaborative governance mechanism are essential to ensuring effective policy implementation. Increase economic incentives to promote digital technology innovation and focus on policy balance to promote the development of the digital health industry. |
| Key words:Digital health Policy evaluation Text mining PMC index model |
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