Research on the Influencing Factors of Medical and Health Big Data Assetization from the Perspective of Data Life Cycle
[Research purpose]Identifying the key influencing factors of medical and health big data assetization is important for the im-plementation of the national medical and health big data strategy and industrial development and for digging the potential value of medical and health big data.[Research method]The methods of literature analysis and expert interview are used to jointly identify the influencing factors of medical and health big data assetization,then the methods of Fuzzy Decision-making Trial and Evaluation Laboratory(Fuzzy-DEMATEL)and the Interpretive Structure Modeling(ISM)are used to analyze the hierarchical structure and internal relationship of influ-encing factors.[Research conclusion]The study finds that medical and health data assetization is affected by 23 factors from 6 dimen-sions,including data acquisition,data storage,data processing,data management,data application and related environment.Among them,4 factors,including data sharing and data trading etc.,are the most direct influencing factors;11 factors,including standard man-agement and privacy protection etc.,are the key factors connecting the bottom layer and the top layer;8 factors,including technical sup-port and data integration etc.,are the root influencing factors.
medical and health big datadata assetizationdata life cycleDEMATELISM
国家科技期刊平台
NSTL
万方数据
维普
