TQM视角下医疗健康大数据质量影响因素研究——基于模糊DEMATEL-ISM方法的实证分析  

The Influencing Factors of Medical and Health Big Data Quality from the Perspective of TQM:An Empirical Analysis Based on Fuzzy-DEMATEL-ISM Method

作　　者：翟运开 于克利[1] 王宇 郭瑞芳 陈益洲 ZHAI Yunkai;YU Keli;WANG Yu;GUO Ruifang;CHEN Yizhou(School of Management,Zhengzhou University,Zhengzhou 450001,China;The First Affiliated Hospital of Zhengzhou University,Zhengzhou 450052,China;National Engineering Laboratory for Internet Medical Systems and Applications,Zhengzhou 450052,China;Health Commission of Henan Province,Zhengzhou 450046,China)

机构地区：[1]郑州大学管理学院,河南郑州450001 [2]郑州大学第一附属医院,河南郑州450052 [3]互联网医疗系统与应用国家工程实验室,河南郑州450052 [4]河南省卫生健康委员会,河南郑州450046

出　　处：《情报科学》2024年第8期22-33,共12页Information Science

基　　金：国家社会科学基金一般项目“医疗健康大数据资产管理模式与再利用机制研究”(21BTQ053)

摘　　要：【目的/意义】本研究充分考虑医疗健康大数据特点,以医疗健康大数据质量为研究对象识别其影响因素,厘清因素之间层级和结构关系,推动国家医疗健康大数据战略发展。【方法/过程】基于全面质量管理(TQM)理论,通过文献分析法识别出医疗健康大数据质量影响因素,并运用模糊决策试验与评价试验(Fuzzy-DEMATEL)和解释结构模型(ISM)分析其层级及内在联系。【结果/结论】研究发现,医疗健康大数据质量受5个维度17个因素的影响,包括相关人员职业素养、利益相关方协同、信息系统3个最直接的影响因素,供需环境、安全环境等9个连接底层和顶层的枢纽因素,政治环境、文化环境等5个根源因素。【创新/局限】本研究基于全面质量管理理论,从环境、组织、标准、信息技术和数据属性五个层面系统地分析医疗健康大数据质量影响因素,具有一定创新性。不足之处在于本研究未将已识别的因素权重量化,后续可通过相关权重的计算方法,具体测算各个影响因素的作用大小。【Purpose/significance】This study fully considers the characteristics of medical and health big data,identifies the influencing factors of medical and health big data quality as the research object,clarifies the hierarchical and structural relationships between factors,and promotes the development of the national medical and health big data strategy.【Method/process】Based on the theory of Total Quality Management(TQM),the factors affecting medical and health big data quality were identified by literature analysis,and the hierarchical relationship and internal relationship were analyzed by Fuzzy-DEMATEL and ISM.【Result/conclusion】The study found that medical and health big data quality is affected by 17 factors in 5 dimensions,among which there are 3 most direct influencing factors,including the professional quality of relevant personnel,stakeholder collaboration and information system,9 pivot factors such as the supply and demand environment and the security environment connecting the bottom and top relationships,and 5 root factors such as political environment and cultural environment.【Innovation/limitation】Based on the TQM theory,this study systematically analyzes the factors affecting medical and health big data quality from the five levels of environment,organization,standards,information technology and data attributes,which is innovative to some extent.The limitation is that the weight of the identified factors is not quantified in this study,and the role of each influencing factor can be specifically measured by the relevant weight calculation method in the future.

关 键 词：医疗健康大数据 数据质量 全面质量管理 模糊决策试验与评价试验法 解释结构模型 

分 类 号：R-058[医药卫生] G250.2[文化科学—图书馆学]