首页 | 本学科首页   官方微博 | 高级检索  
     

基于智慧病房系统的智慧护理在呼吸与危重症医学科的实施
引用本文:刘桂霞,张慧,施艳群,孟云,董秦玲,程金玲,杨秀英,周凤,鲍露露,李晓慧. 基于智慧病房系统的智慧护理在呼吸与危重症医学科的实施[J]. 护理学杂志, 2022, 27(3): 5-9. DOI: 10.3870/j.issn.1001-4152.2022.03.005
作者姓名:刘桂霞  张慧  施艳群  孟云  董秦玲  程金玲  杨秀英  周凤  鲍露露  李晓慧
作者单位:安徽医科大学第一附属医院呼吸与危重症医学科 安徽合肥,230022
基金项目:安徽省卫健委医学人工智能社会治理实验项目(28268753187766373)。
摘    要:目的 探讨基于智慧病房系统的智慧护理在呼吸与危重症医学科的实施效果.方法 将呼吸与危重症医学科的一病区161例患者分为常规护理组,二病区160例患者分为智慧护理组;两组护士均为14人.常规护理组行常规护理;智慧护理组优化实施输液管理、健康教育、医嘱核对、诊疗护理信息查询、结构化护理文书书写、智能化护理质量管理等.实施2...

关 键 词:呼吸与危重症医学科  智慧病房系统  智慧护理  自我感受负担  工作压力  职场疲劳  护理不良事件
收稿时间:2021-09-14
修稿时间:2021-11-01

Application of smart hospital IoT systems in the department of respiratory and critical care medicine
Liu Guixi,Zhang Hui,Shi Yanqun,Meng Yun,Dong Qinling,Cheng Jinling,Yang Xiuying,Zhou Feng,Bao Lulu,Li Xiaohui. Application of smart hospital IoT systems in the department of respiratory and critical care medicine[J]. Journal of Nursing Science, 2022, 27(3): 5-9. DOI: 10.3870/j.issn.1001-4152.2022.03.005
Authors:Liu Guixi  Zhang Hui  Shi Yanqun  Meng Yun  Dong Qinling  Cheng Jinling  Yang Xiuying  Zhou Feng  Bao Lulu  Li Xiaohui
Affiliation:(Department of Respiratory and Critical Care Medicine,The First Affiliated Hospital of Anhui Medical University,Hefei 230022,China)
Abstract:Objective To explore the effect of Internet of Things(IoT) based smart hospital applications utilized in the department of respiratory and critical care medicine.Methods A total of 161 patients hospitalized in the first division of the department of respiratory and critical care medicine were treated as a control group and were subjected to conventional care,while 160 patients in the second division served as a smart nursing group and received nursing care that was provided by utilizing smart hospital IoT systems in infusion management,health education,check of medical orders,query for diagnosis and treatment information,structured documentation of nursing records,intelligent management of nursing quality,etc.There were 14 nurses in both divisions.The effect was evaluated after 2 months of intervention.Results The incidence of infusion-related adverse events,the number of call bell requests,the effect of health education,patient satisfaction and the score of patients′ self-perceived burden were significantly better,whereas nurses′ workload,work stress and workplace fatigue were significantly lower in the smart nursing group compared with the control group(P<0.05,P<0.01).Conclusion Application of smart hospital IoT systems can improve nursing efficiency,treatment safety and patient satisfaction,but reduce nurses′ work stress and workplace fatigue,which is beneficial to optimize patients′ experience of hospitalization and nursing staff′s work experience.
Keywords:department of respiratory and critical care medicine  smart hospital ward system  smart nursing  self-perceived burden  work stress  workplace fatigue  adverse nursing event
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《护理学杂志》浏览原始摘要信息
点击此处可从《护理学杂志》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号