[1]沈慧煌,赵 静,马涵彬,等.我国健康医疗大数据政策文本分析——基于政策工具视角[J].卫生经济研究,2021,38(8):11-15,18.
 SHEN Hui-huang,ZHAO Jing,MA Han-bin,et al.Policy Text Analysis on Health Care Big Data in China——From the Perspective of Policy Tools[J].Journal Press of Health Economics Research,2021,38(8):11-15,18.
点击复制

我国健康医疗大数据政策文本分析
——基于政策工具视角
分享到:

卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
38
期数:
2021年8期
页码:
11-15,18
栏目:
理论视野
出版日期:
2021-07-30

文章信息/Info

Title:
Policy Text Analysis on Health Care Big Data in China
——From the Perspective of Policy Tools
作者:
沈慧煌1赵 静1马涵彬1傅云翔1杨立津1
1.北京中医药大学,北京 100029
Author(s):
SHEN Hui-huang ZHAO Jing MA Han-bin FU Yun-xiang YANG Li-jin
Beijing University of Traditional Chinese Medicine, Beijing 100029, China
关键词:
健康医疗大数据卫生政策政策工具文本分析
Keywords:
health care big data health policy policy tool text analysis
分类号:
R197
文献标志码:
A
摘要:
目的:了解我国健康医疗大数据政策的内外部特征,探讨政策目标与相关政策的侧重点与不足点,为完善我国健康医疗大数据相关政策提供参考。方法:对纳入分析的政策文件进行编码和摘录,采用统计描述方法对相关政策工具进行统计分析。结果:政策工具类型中,供给型、环境型、需求型工具分别占比为37.5%、53.9%、8.59%;内部子模指标占62.9%,外部子模指标占37.1%。结论:政策由政府主导,使用存在不足,部分政策被忽略,系统差异较大;建议提升政策靶向精准度,优化政策内部结构,广泛吸收试点经验,积极培育市场主体,增强外部子模的使用。
Abstract:
Objective To understand the internal and external characteristics of health care big data policy in China, to discuss the focus point and shortcomings of policy aims and related policies, and to provide references for improving health care big data policies. Methods Coding and extracting the policy documents, and using statistical description methods to analysis on relevant policy tools. Results Among all types of policy tools, supply type, environmental type, and demand type tools accounted for 37.5%, 53.9%, and 8.59% respectively; internal sub-model indicators accounted for 62.9%, and external sub-model indicators accounted for 37.1%. Conclusion The policy is led by the government, but insufficient use. Some policies are ignored, and the systems are quite different; it is recommended to improve the accuracy of policy targeting, optimize the policy internal structure, extensively learn from pilot experience, actively cultivate market entities, and enhance the use of external sub-models .

参考文献/References:

[1] TonyHey,StewartTansley, KristinTolle,等.第四范式:数据密集型科学发现[M].北京:科学出版社,2012.
[2] 吴韬.习近平国家治理现代化思想的大数据观及其现实意义[J].云南行政学院学报,2018,20(15):104-109.
[3] 代涛.健康医疗大数据发展应用的思考[J].医学信息学杂,2016, 37(2):1-8.
[4] 王艺,任淑霞.医疗大数据可视化研究综述[J].计算机科学与探索,2017,11(5):681-699.
[5] 曾婧婧.泛珠三角区域合作政策文本量化分析:2004—2014[J].中国行政管理,2015(7):110-116.
[6] 贾建国.政策工具的视角:我国民办学前教育发展的政策分析[J].现代教育管理,2017(8):104-108.
[7] ROTHWELL R,ZEGVELD W.Reindusdalization and technology[M].London:Logman Group Limited,1985.
[8] 范转转,刘园园,姚东明.政策工具视角下的我国全科医生政策研究[J].中国全科医学,2018,21(31):3788-3794.
[9] 王子强,于倩倩,尹文强,等.政策工具维度下的家庭医生签约服务政策文本分析[J].中华医院管理杂志,2019(8):647-651.
[10] 苟欢,刘利才.基于政策工具视角的养老服务政策文本:一种分析框架[J].四川理工学院学报(社会科学版),2014,29(1):20-27.
[11] 程惠霞.“科层式”应急管理体系及其优化:基于“治理能力现代化”的视角[J].中国行政管理,2016(3):86-91.

相似文献/References:

[1]宋若萌,黄琳晏,桂 玲,等.我国民营医院发展的政策性影响因素分析[J].卫生经济研究,2022,39(2):6.
 SONG Ruo-meng,HUANG Lin-yan,GUI Ling,et al.Analysis of the Policy Influencing Factors of the Development of Private Hospitals in China[J].Journal Press of Health Economics Research,2022,39(8):6.

更新日期/Last Update: 2021-07-29