医防传染病信息互联互通成熟度评估指标体系研究

Indicator system for evaluation of interconnection and interoperability of infectious disease information system between medical institution and disease prevention institution

  • 摘要:
    目的 建立医防传染病信息互联互通成熟度评估指标体系,推进智慧化传染病监测预警,助力创新医防融合机制。
    方法 通过文献检索等方法建立体系框架和备选指标池,邀请21位专家通过两轮德尔菲法完善指标体系,采用层次分析法确定指标权重。
    结果 最终构建包含5项一级指标、20项二级指标、61项三级指标的医防传染病信息互联互通成熟度评估指标体系。 两轮专家积极系数为100.00%,专家权威系数为0.86,两轮中全部指标的Kendall’s W协调系数分别为0.14、0.17,变异系数分别为0.15、0.13。 一级指标权重由高到低分别为规划设计与保障(0.37)、数据标准支持(0.28)、信息化建设与管理(0.19)、医防融合业务内容(0.13)和互联互通效益(0.04)。
    结论 本研究较为科学地建立医防传染病信息互联互通成熟度评估指标体系,以智慧化传染病监测预警为导向,为我国推进医防传染病信息互联互通提供了整体框架和建设思路。

     

    Abstract:
    Objective To establish an indicaor system for the evaluation of interconnection and interoperability of infectious disease information system between medical instittion and disease prevention insttution, facilitate the establishment of intelligent infectious disease surveillance and early warning syatem and the development of new integration mechanism of medical service and disease prevention.
    Methods The system framework and alternative indicator pool were determind through literature retrieval and other methods, 21 experts were invited for the two round assessments of indicator system with Delphi method, and hierarchical analysis was used to determine the indicator weights.
    Results The final indicator system for the evaluatin of interconnection and interoperability of infectious disease information system between medical instittion and disease prevention insttution contain 5 first-level indicators, 20 second-level indicators, and 61 third-level indicators. The positive coefficient of experts in the two round assessments was 100.00%, the authority coefficient of experts was 0.86, the Kendall’s W coordination coefficient of all indicators in the two round assessments were 0.14 and 0.17, and the coefficients of variation were 0.15 and 0.13, respectively.The weights of the first-level indicators were 0.37 for planning, design and safety, 0.28 for support of data standards, 0.19 for informationization construction and management, 0.13 for content of infrmation share between medical institution and disease prevention instittution. and 0.04 for interconnection and interoperability benefits.
    Conclusion An indicator system for the evalaution of interconnection and interoperability of infectious disease information system between medical institution and disease prevention institution was etblished in this sudy, which provide reference and framwork to improve the interconnection and interoperability of infectious disease information system between medical institution and disease prevention insttution for the intelligent infectious disease surveillance and early warnnig in China.

     

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