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医院体温智能监测平台构建与应用

Using intelligent means to improve the efficiency of epidemic prevention and control
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摘要 目的:体温监测是医疗机构呼吸道传染病防控最重要和最基本的手段之一,为了优化目前医院体温监测数据手动上报效率低、及时性差、记录难以精确追踪等现况,构建全院体温监测平台。方法:我院利用物联网技术、机器学习算法,通过人脸识别、电子健康码认证和体温智能采集等手段,建设“基于物联网和人工智能的全院级体温监测管理平台”,并选取6个病区对平台上线后的体温监测效率和监测质量、每日体温监测的平均人数和每日发热人数检出数进行评价。结果:对院内所有人员的体温数据进行实时采集与分析,基于地理信息系统(General Installation Subcontracts,GIS)模型构建出体温热力分布地图和人员出行轨迹记录,并与院内考勤系统、物联网设备、胸部计算机断层扫描(Computed Tomography,CT)报告、血常规、C反应蛋白(C-reactive protein,CRP)等临床数据互联互通,实现全员体温数据实时管理、发热分布管理、出入人员管理、疫情筛查预测、疫情数据决策支持等功能,运用医院体温监测平台大大提高了体温监测的数量和发热患者检出数。结论:运用医院体温监测平台可实现病区人员体温的自动检测和上报,显著提高了体温监测的效率,为医院呼吸道传染病防控提供数据支撑和技术保障。 Objective:Temperature monitoring is one of the most important and basic means of COVID-19’s prevention and con-trol.It is also one of the effective means to monitor and judge the outbreak of hospital infection.In order to optimize the current situa-tion of low manual reporting efficiency,poor timeliness,and difficult to track records accurately,the current temperature monitoring da-ta in hospitals are being analyzed.Methods:Using Internet of things technology and machine learning algorithm,this paper constructs a“hospital wide body temperature monitoring and management platform based on Internet of things and artificial intelligence”by means of face recognition,electronic health code authentication and body temperature intelligent collection.Results:The temperature data of all personnel in the hospital were collected and analyzed in real time,the temperature and heat distribution map and personnel travel trajectory record were constructed based on GIS model,and interconnected with clinical data such as hospital attendance system,Internet of things equipment,chest CT report,blood routine,CRP and nucleic acid test results,so as to realize the real-time manage-ment of temperature data,fever distribution management,entry and exit personnel management,epidemic screening and prediction Epi-demic data and decision support.Conclusion:The intelligent temperature monitoring and management platform provides data support and technical support for hospital epidemic prevention and control.
作者 朱萍 Zhu Ping(Jiang Su Province Hospital Quality Management Office,Nanjing 210096,Jiangsu Province,China)
出处 《江苏卫生事业管理》 2024年第3期419-423,共5页 Jiangsu Health System Management
基金 国家重点研发计划(2022YFB2703300、2022YFB2703301) 江苏省重大科技示范项目(BE2022798) 江苏省医院协会医院管理创新研究课题(JSYGY-3-2023-549、JSYGY-2-2023-640)。
关键词 物联网 人工智能 体温监测 Internet of things artificial intelligence temperature monitoring
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