实施国家传染病预警前置软件前后传染病报告时限比较—以某妇幼保健院为例

Comparison of reporting time limits for infectious diseases before and after the implementation of the national infectious disease early warning software - taking a maternal and child health hospital as an example

  • 摘要: 目的 分析某专科医院实施国家传染病预警前置软件(简称“智能监测预警前置软件”)前后传染病报告时限的变化,评价该软件在缩短报告时间、提高报告及时性方面的应用效果。方法 选取2024年1-7月(实施前)及2025年1-7月(实施后)国家疾病预防控制系统中的传染病报告数据,根据实施前后不同的报告方式、病种、及人群特征,采用描述性流行病学方法,分别对2024年与2025年传染病患者的基本信息、报告时限及不同人群构成进行比较分析。结果 2024年1-7月与2025年1-7月该院传染病就诊的患者数分别为623例和587例。智能监测预警前置软件实施前后10h以内报告596例,占49.26%(596/1210);报告病例数最多的时间段为1h~组(378例),占31.24%,前置软件实施前后报告时限差异有统计学意义(χ2=27.381,P<0.001)。2025年1-7月较2024年1-7月最短报告时限缩短了0.04h,最长时限缩短了0.55h,平均时限缩短了1.48h。实施后周六、日及法定假日报告时限缩短更明显。结论 智能监测预警前置软件实施后,传染病报告时限缩短,报告及时性提高。本研究为该软件在医疗机构中的推广应用提供了实证参考。

     

    Abstract: Objective: Understand the improvement in the timeliness of infectious disease reporting through the implementation of smart monitoring and early warning front-end software in specialized hospitals, including the reduction in reporting deadlines.Methods: Select the infectious disease reporting data from the National Disease Prevention and Control System for January-July 2024 (pre-implementation) and January-July 2025 (post-implementation). Using descriptive epidemiological methods, compare and analyze the basic information, reporting timelines, and population composition of infectious disease patients between 2024 and 2025, categorized by different reporting methods, disease types, and demographic characteristics before and after the implementation.Results: The number of patients who visited our hospital for infectious diseases from January to July 2024 and January to July 2025 were 623 and 587, respectively. 596 cases, accounting for 49.26%, were reported within 10 hours before and after the implementation of intelligent monitoring and early warning software; The time period with the highest number of reported cases was from 1 hour to group (378 cases), accounting for 31.24%. There was a statistically significant difference in the reporting time before and after the implementation of the pre software (χ2=27.381, P < 0.05). The shortest reporting period from January to July 2025 has been shortened by 0.04 hours, the longest period by 0.55 hours, and the average period by 1.48 hours compared to January to July 2024. After implementation, the reporting deadline for Saturdays, Sundays, and statutory holidays will be significantly shortened. Conclusion: After the implementation of intelligent monitoring and early warning pre software, the reporting time for infectious diseases has been significantly shortened. Therefore, reducing the reporting deadline for pre installed software has increased the timeliness and accuracy of infectious diseases, the implementation of this software provides a reference basis for the promotion and implementation of national front-end software in medical institutions.

     

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