Intelligent Forest Hospital as a New Management System for Hospital-Acquired Infection Control  

作　　者：Yingxin Liu Zhousheng Lin Guanwen Lin Wanmin Lian Junzhang Tian Guowei Li Hongying Qu 

机构地区：[1]Center for Clinical Epidemiology and Methodology(CCEM),The Affiliated Guangdong Second Provincial General Hospital of Jinan University,Guangzhou City,Guangdong Province,China [2]Medical Department,The Affiliated Guangdong Second Provincial General Hospital of Jinan University,Guangzhou City,Guangdong Province,China [3]Hospital-Acquired Infection Control Department,The Affiliated Guangdong Second Provincial General Hospital of Jinan University,Guangzhou City,Guangdong Province,China [4]Information Department,The Affiliated Guangdong Second Provincial General Hospital of Jinan University,Guangzhou City,Guangdong Province,China [5]Institute for Healthcare Artificial Intelligence Application,The Affiliated Guangdong Second Provincial General Hospital of Jinan University,Guangzhou City,Guangdong Province,China [6]Father Sean O’Sullivan Research Centre,St.Joseph’s Healthcare Hamilton,Hamilton,ON,Canada [7]Department of Health Research Methods,Evidence,and Impact(HEI),McMaster University,Hamilton,ON,Canada

出　　处：《China CDC weekly》2024年第37期972-974,共3页中国疾病预防控制中心周报（英文）

基　　金：Supported by the Science Foundation of Guangdong Second Provincial General Hospital(number:YY2018-002,recipient:GL).

摘　　要：Hospital-acquired infection(HAI)is a significant global health concern,elevating the risks of morbidity and imposing a substantial socioeconomic burden.To enhance the management of HAI,particularly in the aftermath of the coronavirus disease 2019(COVID-19)pandemic,the Guangdong Second Provincial General Hospital(GD2H)has launched a new system called Intelligent Forest Hospital(IFH).Leveraging advancements in artificial intelligence,5G technology,and cloud networking,the IFH implements customized indoor air quality(IAQ)control strategies tailored to different medical settings.It utilizes various intelligent disinfection devices and air purification systems.The IFH features a dynamic 3D hospital model with real-time monitoring of crucial IAQ parameters and a risk assessment ranking for clinical departments,providing timely risk alerts,communication prompts,and automatic disinfection processes.The IFH aims to effectively mitigate HAI post-COVID-19 and other future pandemics,ensuring a safe and pleasant environment for patients,hospital staff,and visitors.

关 键 词：FOREST utilize PROMPT 

分 类 号：R197.32[医药卫生—卫生事业管理]