摘要
围绕医院安全运营所面临的内部、外部风险,针对突发事件的危害性和响应过程的紧迫性与复杂性等特点,综合利用物联网、大数据、人工智能等技术,构建了医院后勤风险预警知识库,并在此基础上建立了一套医院安全风险预警系统,基于数据驱动对医院后勤风险进行自动识别和分析,同时自行派发预警提醒和任务,实现了医院后勤风险预警预判的初级人工智能,能够更有针对性、更及时、更有效率地监测、识别和处置风险。
Around the internal and external risks faced by the safe operation of the hospital,according to characteristics such as harmfulness of emergencies and the urgency and complexity of the response process,the hospital logistics risk early warning knowledge base is constructed by comprehensively using the technologies such as Internet of things,big data and artificial intelligence.On this basis,a set of hospital safety risk early warning system is established,which automatically identify and analyze the hospital logistics risks based on data driving,and at the same time sends early warning reminders and tasks by itself,realizing the primary artificial intelligence of hospital logistics risk early warning and prediction,which can monitor,identify and deal with risks more targetedly,timely and efficiently.
作者
吕雯倩
周磊
郭万茹
陈童
吴锦华
LYU Wenqian;Zhou Lei;Guo Wanru;Chen Tong;Wu Jinhua(Shanghai General Hospital,Shanghai 200080,China)
出处
《中国数字医学》
2022年第5期21-25,共5页
China Digital Medicine
关键词
智慧后勤
后勤管理
风险预判
Intelligent logistics
Logistics management
Risk prediction
