基于PMC指数模型的我国健康医疗大数据发展的政策环境研究

Research on the policy environment of China’s healthcare big data development based on PMC index model

目的:分析目前我国健康医疗大数据发展的政策环境,并为我国健康行业决策制定和完善提供理论依据,为我国健康医疗大数据行业高质量发展提供方向指引。方法:以我国国家层面出台的与健康医疗大数据相关的政策为研究对象,采用文本挖掘的方法遴选出政策文本中的高频词,结合专家访谈结果构建PMC指数模型,对我国健康医疗大数据的相关政策进行量化评价。结果:PMC指数模型结果表明,我国9项健康医疗大数据政策PMC指数的平均值为4.72,其中2项政策表现良好,7项政策表现及格;国家层面健康医疗大数据政策整体质量良好,但仍有较大提升空间。结论:我国健康医疗大数据管理政策基本完善,政策在性质与功能上较为明确,本文着重从政策内容、激励约束和生命周期三方面进行具体分析并提出改进建议。

Objective:To analyze the current policy environment of China’s healthcare big data development,to provide theoretical basis for decision making and improvement of China’s health industry,and to provide directional guidance for the high-quality development of China’s healthcare big data industry.Methods:The policies related to big data in healthcare issued at the national level in China were taken as the research objects,and the high-frequency words in the policy texts were selected by the text mining method,and the PMC index model was constructed by combining the results of expert interviews to quantitatively evaluate the policies related to big data in healthcare in China.Results:The results of the PMC index model showed that the average value of PMC index of nine healthcare big data policies in China was 4.72,among which two policies performed well and seven policies performed passably;the overall quality of healthcare big data policies at the national level was good,but there was still much room for improvement.Conclusions:China’s healthcare big data management policies are basically perfect,and the policies are clearer in nature and function.This paper focuses on specific analysis and improvement suggestions from three aspects:policy content,incentive constraints and life cycle.