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传染病与多重耐药菌感染智能识别防控系统的构建及应用

李晨光 潘泽韬 朱浩智 琚旭 何仲廉 李超峰 李欢

中国感染控制杂志2025,Vol.24Issue(4):499-505,7.
中国感染控制杂志2025,Vol.24Issue(4):499-505,7.DOI:10.12138/j.issn.1671-9638.20255451

传染病与多重耐药菌感染智能识别防控系统的构建及应用

Construction and application of an intelligent system for recognition,pre-vention,and control of infectious diseases and multidrug-resistant orga-nism infections

李晨光 1潘泽韬 2朱浩智 1琚旭 1何仲廉 2李超峰 2李欢1

作者信息

  • 1. 中山大学肿瘤防治中心医院感染管理科,广东 广州 510060
  • 2. 中山大学肿瘤防治中心信息中心,广东 广州 510060
  • 折叠

摘要

Abstract

Objective To construct an intelligent recognition,prevention,and control system for infectious disea-ses and multidrug-resistant organism infections,aiming at improving the efficacy of full-process management,and to evaluate its application effects.Methods Based on personalized logic parsing rules that accurately reflect the infec-tion status and transmission risks in real-time,an intelligent recognition,prevention,and control system with func-tions of automatic recognition,dynamic labeling,real-time sharing,early warning,and visual guidance was estab-lished.Patients undergoing invasive diagnostic and therapeutic procedures in two departments of a tertiary first-class hospital from October 2023 to May 2024 were selected as the research subjects.The differences in recognition,pre-vention,and control efficacy before and after the application of the system were compared using a self-controlled method,with traditional manual management as the control group and intelligent system management as the experi-mental group.Results A total of 2 146 patients were included in the analysis.The recognition,prevention,and control rate and the accuracy rate of recognizing infected individuals using the intelligent system were enhanced sig-nificantly compared with those using manual mode(improved from 5.3%and 72.4%to 100%,respectively),with statistical significance(both P<0.001).The median early warning time for infection information reached 85.20 days,with 100%early warning achieved.The average time spent by medical staff on infection information recogni-tion and management was reduced by 4.71 hours per day.Conclusion The intelligent system constructed in this study significantly improves the effectiveness of full-process management in recognition,prevention,and control of infectious diseases and multidrug-resistant organism infection,effectively reduces the risk of cross-infection,and en-hances the efficiency of diagnostic and therapeutic services.

关键词

传染病/多重耐药菌感染/智能识别/动态标记/可视化指引/预防与控制

Key words

infectious disease/multidrug-resistant organism infection/intelligent recognition/dynamic labeling/visual guidance/prevention and control

分类

医药卫生

引用本文复制引用

李晨光,潘泽韬,朱浩智,琚旭,何仲廉,李超峰,李欢..传染病与多重耐药菌感染智能识别防控系统的构建及应用[J].中国感染控制杂志,2025,24(4):499-505,7.

基金项目

中山大学肿瘤防治中心"青年优创"创新计划项目(202305) (202305)

中国感染控制杂志

OA北大核心

1671-9638

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