吴周志, 徐承中, 徐勇, 张培. 健康医疗大数据下疾病监测报告模式的变革——宜昌市健康管理大数据分析中心建设的启示[J]. 疾病监测, 2019, 34(1): 10-14. DOI: 10.3784/j.issn.1003-9961.2019.01.005
引用本文: 吴周志, 徐承中, 徐勇, 张培. 健康医疗大数据下疾病监测报告模式的变革——宜昌市健康管理大数据分析中心建设的启示[J]. 疾病监测, 2019, 34(1): 10-14. DOI: 10.3784/j.issn.1003-9961.2019.01.005
Zhouzhi Wu, Chengzhong Xu, Yong Xu, Pei Zhang. Changes in disease surveillance reporting model based on health big data: Inspirations from the construction of big data analysis center of health management in Yichang[J]. Disease Surveillance, 2019, 34(1): 10-14. DOI: 10.3784/j.issn.1003-9961.2019.01.005
Citation: Zhouzhi Wu, Chengzhong Xu, Yong Xu, Pei Zhang. Changes in disease surveillance reporting model based on health big data: Inspirations from the construction of big data analysis center of health management in Yichang[J]. Disease Surveillance, 2019, 34(1): 10-14. DOI: 10.3784/j.issn.1003-9961.2019.01.005

健康医疗大数据下疾病监测报告模式的变革——宜昌市健康管理大数据分析中心建设的启示

Changes in disease surveillance reporting model based on health big data: Inspirations from the construction of big data analysis center of health management in Yichang

  • 摘要:
    目的 探讨疾病监测报告模式的变革发展方向。
    方法 通过分析我国现行疾病监测系统的发展,结合宜昌市健康管理大数据建设及在疾病监测报告领域的应用情况,获得今后疾病监测报告模式变革的启示。
    结果 我国疾病监测信息系统取得了较快发展,但仍然存在数据共享利用不充分,病例漏报、错报等问题;基于医院信息化的疾病监测信息管理取得了一些进展,但在数据互联共享和综合利用上有难度;宜昌市通过依托健康管理大数据分析中心建设,开展了疾病智能监测报告系统的建设与应用,并取得了一些成效。
    结论 健康医疗大数据的背景下,疾病监测报告模式与管理将会出现信息系统向基层下沉、转向主动智能监测、危险因素监测、早期预警等一系列变革与发展。

     

    Abstract:
    Objective To discuss the change trend and development of the disease surveillance reporting model in China.
    Methods Trough analysis on the development of the current disease surveillance system in China, along with the construction of big data for health management and its application in the field of disease surveillance reporting in Yichang, some inspirations of future changes in disease surveillance reporting model were obtained.
    Results Disease surveillance information system in China has achieved a rapid development. However, there are still problems such as insufficient data sharing, underreporting and misreporting. Some progress has been achieved in the management of disease surveillance information based on hospital information system, but data sharing and comprehensive application are still difficult. Based on the big data analysis center for health management, an intelligence disease surveillance system construction and application has been conducted in Yiuchang, and improvement have been made.
    Conclusion Under the background of health big data, a series of changes and developments in the disease surveillance reporting model and management would emerge, such as the establishment of information system at grassroots level, active intelligence surveillance, risk factor surveillance and early warning.

     

/

返回文章
返回