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山东大学学报 (医学版) ›› 2026, Vol. 64 ›› Issue (8): 29-34.doi: 10.6040/j.issn.1671-7554.0.2025.1473

• 自然疫源性疾病防治策略专题 • 上一篇    

国家传染病智能监测预警前置软件现状与问题分析

——以山东省某三甲医院为例韩超1,王刚2,邹文璐2,司鲁莹1,林哲3   

  1. 1.山东大学齐鲁医院医务处, 山东 济南 250012;2.山东大学齐鲁医院感染性疾病科, 山东 济南 250012;3.济南市历下区疾病预防控制中心, 山东 济南 250014
  • 发布日期:2026-08-14
  • 通讯作者: 林哲. E-mail:lz87654321@126.com司鲁莹. E-mail:siluying9@163.com
  • 基金资助:
    国家重点研发计划(2023YFC2308802)

Current status and issues of the national pre-positioned software for intelligent infectious disease surveillance and early warning: a case study of a Grade Ⅲ Level A hospital in Shandong Province

HAN Chao1, WANG Gang2, ZOU Wenlu2, SI Luying1, LIN Zhe3   

  1. 1. Medical Department, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China;
    2. Department of Infectious Diseases, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China;
    3. Lixia District Center for Disease Control and Prevention, Jinan 250014, Shandong, China
  • Published:2026-08-14

摘要: 目的 对比传染病智能监测预警前置软件在山东省某三甲医院应用前后,传染病疫情监测与报告工作的变化,分析其实际使用中的优缺点,为前置软件的进一步优化提供参考。 方法 从医院信息系统中提取前置软件应用前一年(2024年1—11月)和应用后一年(2025年1—11月)的传染病报告数据,并对相关工作人员进行访谈,分析从病例监测到报告的工作流程及时间变化。 结果 前置软件使用后,病例发现时间由12 h以内缩短至1 min以内,病例报告完成时间由10 min以上缩短至3 min以内;初始漏报率由11.09%降至1.68%(P<0.001),报告卡填写准确率由91.75%提升至98.02%(P<0.001),报告卡填写完整率差异无统计学意义(P>0.05)。但前置软件完整配置成本较高,尚不能完全脱离中国疾病预防控制系统(简称“大疫情网”)使用,专线网络要求降低了远程工作的可操作性。 结论 前置软件的应用可减轻工作人员日常疾病监测与报告的负担。建议未来增加资金支持以降低配置成本,并增加订正、删除病例等功能,使其可脱离大疫情网独立使用。

关键词: 传染病智能监测预警前置软件, 三甲医院, 疫情监测与报告, 实时监测

Abstract: Objective To compare the changes in infectious disease outbreak monitoring and reporting before and after the application of the pre-positioned software for intelligent infectious disease surveillance and early warning in a Grade Ⅲ Level A hospital in Shandong Province, and to analyze its advantages and disadvantages in practical use, so as to provide reference for further optimization of the software. Methods Infectious disease reporting data were extracted from the hospital information system for the year before(January-November 2024)and the year after(January-November 2025)the software application. Staff interviews were conducted to analyze changes in workflow and time consumption from case monitoring to reporting. Results After the application of the pre-positioned software, case detection time was shortened from within 12 hours to within 1 minute, and the time to complete reporting per case was reduced from over 10 minutes to within 3 minutes. The initial underreporting rate decreased from 11.09% to 1.68%(P<0.001), and the accuracy rate of report card completion increased from 91.75% to 98.02%(P<0.001), while no statistically significant difference was observed in the completeness rate(P>0.05). However, the full configuration cost of the software is high, the software cannot yet be used completely independently of the National Notifiable Infectious Diseases Reporting System(NNIDRS), and the requirement for a dedicated network reduces the feasibility of remote work. Conclusion The application of the pre-positioned software can reduce the burden on staff in daily disease monitoring and reporting. It is recommended to increase financial support to lower configuration costs and to add functions such as case revision and deletion, enabling the software to be used independently of the NNIDRS.

Key words: Pre-positioned software for intelligent infectious disease surveillance and early warning, Grade Ⅲ Level A hospital, Infectious disease surveillance and reporting, Real-time monitoring

中图分类号: 

  • R197.32
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