摘要
目的:对AR远程指导系统在抗击新型冠状病毒肺炎疫情中的应用价值进行探讨。方法:收集全国19家抗疫一线医院中该系统的使用信息,按照使用类别划分为医生指导、护理指导及非医疗指导,并分类统计具体场景中云服务器的使用频次、时间及地域,记录系统使用的具体内容及使用结果。采用SPSS 25.0软件和描述性统计方法对数据进行分析处理。结果:该系统的总使用频次为2201次,医生指导、护理指导和非医疗指导的使用频次分别为328次(14.90%)、436次(19.81%)和1437次(65.29%),指导成功率分别为79.27%、97.48%和98.89%。以每次使用减少一套防护用品(1件防护服、1个口罩、1副医用护目镜)计算,约减少使用防护用品6603件;以每次操作平均节约时间成本30 min计算,共节约时间成本1100.5 h;减少与确诊患者密切接触次数>2201次。结论:AR远程指导系统的应用既可以减少医疗防疫物资的损耗、降低医源性感染风险概率,还可以使援助疫区的年轻医护人员快速掌握临床技能、应对临床突发问题,达到快速提升临床医护人员救治效能的目的,具有广阔的应用前景。
Objective To explore the application value of the AR remote guidance system for remote medical guidance during response to COVID-19.Methods The application data of the system were collected from 19 first-line hospitals in China,and then according to provider source were divided into three types for doctor guidance,nursing guidance and non-medical guidance respectively.Classification statistics analyses were executed over the use frequency,time and domain of the cloud server as well as the application purposes and results.SPSS 25.0 software and descriptive statistics method were used for data analysis and processing.Results Totally 2201 times of system application were recorded,of which,there were 328 times(14.90%)for doctor guidance,436 times(19.81%)for nursing guidance and 1437 times(65.29%)for non-medical guidance;the success rate was 79.27%for doctor guidance,97.48%for nursing guidance and 98.89%for non-medical guidance;supposing that one times of system application saved half an hour as well as one suit involving one piece of protective clothing,one mask and one pair of medical goggles,there were 6603 pieces of protective articles and 1100.5 hours saved;totally more than 2201 times of close contacts were avoided.Conclusion The AR remote guidance system contributes to saving medical protective resources,decreasing nosocomial infection and enhancing young medical staffs of the affected area in responses to clinical emergencies,and thus is worthy promoting practically.
作者
肖若秀
鲁媛媛
何昆仑
李俊来
王亮
常秀娟
宋海晶
张颖
王军
秦屹
贾晓黎
刘晶
赵雷
陈鹏
叶哲伟
左秀然
唐金海
宋景春
刘伟
贡立军
聂玉胜
XIAO Ruo-xiu;LU Yuan-yuan;HE Kun-lun;LI Jun-lai;WANG Liang;CHANG Xiu-juan;SONG Hai-jing;ZHANG Ying;WANG Jun;QIN Yi;JIA Xiao-li;LIU Jing;ZHAO Lei;CHEN Peng;YE Zhe-wei;ZUO Xiu-ran;TANG Jin-hai;SONG Jing-chun;LIU Wei;GONG Li-jun;NIE Yu-sheng(School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing 100083,China;Chinese PLA General Hospital,Beijing 100853,China;Hebei Chest Hospital,Shijiazhuang 050041,China;The 5th Medical Center of Chinese PLA General Hospital,Beijing 100039,China;Strategic Support Force Special Medical Center of the PLA,Beijing 100105,China;The 8th Medical Center of Chinese PLA General Hospital,Beijing 100039,China;The 82nd Combined Corps Hospital of Army,Baoding 071051,Hebei Province,China;Beijing Boai Hospital,China Rehabilitation Research Center,Beijing 100068,China;The Second Affiliated Hospital of Xi'an Jiaotong University,Xi'an 710004,China;The First Affiliated Hospital of Dalian Medical University,Dalian 116021,Liaoning Province,China;Union Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology,Wuhan 430022,China;Gong'an County People's Hospital,Gong'an 434399,Hubei Province,China;The Central Hospital of Wuhan,Tongji Medical College of Huazhong University of Science and Technology,Wuhan 430014,China;The First Affiliated Hospital with Nanjing Medical University,Nanjing 210029,China;The 908th Hospital of Joint Logistics Support Force,Nanchang 330002,China;Visual3D Medical Technology Development Co.,Ltd(VISUAL),Beijing 100070,China;Beijing Chao-Yang Hospital,Capital Medical University,Beijing 100043,China)
出处
《医疗卫生装备》
CAS
2020年第7期7-12,共6页
Chinese Medical Equipment Journal
基金
国家重点研发计划重点专项(2017YFB1401203,2017YFB1002804-01)
国家自然科学基金项目(61701022)
国防科技创新特区项目(19-163-15-LZ-001-003-01)
北京市自然科学基金项目(7182158)
北京高校高精尖学科“北京科技大学-人工智能科学与工程”与中央高校基本科研业务费(FRF-DF-20-05)