中国医学装备2024,Vol.21Issue(10) :129-134.DOI:10.3969/j.issn.1672-8270.2024.10.024

基于物联网技术的应急医疗设备可视化调配系统研发与应用

Development and application of visual allocation system for emergency medical equipment based on Internet of Things technology

倪际龙 潘国兵 林城 柯晓坡
中国医学装备2024,Vol.21Issue(10) :129-134.DOI:10.3969/j.issn.1672-8270.2024.10.024

基于物联网技术的应急医疗设备可视化调配系统研发与应用

Development and application of visual allocation system for emergency medical equipment based on Internet of Things technology

倪际龙 1潘国兵 2林城 1柯晓坡2
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作者信息

  • 1. 中国人民解放军联勤保障部队第九〇〇医院医学工程科 福州 350001
  • 2. 中国人民解放军联勤保障部队第九〇〇医院医疗保障中心 福州 350001
  • 折叠

摘要

目的:设计基于物联网技术的应急医疗设备可视化调配系统,实现医院应急医疗设备统筹调配.方法:采用客户机与服务器(C/S)架构,设计主要基于蓝牙5.1技术,通过蓝牙定位标签、低功耗传感器与蓝牙物联网基站信号交流自动获取和自动分析的基于物联网技术的应急医疗设备可视化调配系统.选取2021年1-12月中国人民解放军联勤保障部队第九〇〇医院传统调配中心模式管理医疗设备调配的150台件设备样本数据,与随机抽取2022年6月至2023年6月可视化调配系统使用期间调配的150台件设备样本数据进行调配响应时间和调配出入库时间对比,并随机抽样法抽取传统调配中心模式和可视化调配管理期间呼吸机类设备40台,每种管理模式20台,比对其使用期间的医疗设备开机率、使用率和收益率.结果:可视化调配系统可实现设备自动定位、应急调配、台账管理、远程报修及效益分析等功能.采用可视化调配系统的设备调配响应时间、调配出库时间和调配入库时间分别为(19.61±3.119)min、(11.73±2.104)min和(10.21±2.165)min,均少于传统调配中心模式的(54.98±3.999)min、(21.54±2.811)min和(16.80±2.000)min,差异有统计学意义(t=85.407、34.229、27.395,P<0.05).采用可视化调配系统的呼吸机类设备开机率、使用率和收益率分别为78.24%、51.23%和82.76%,均高于传统调配中心模式的43.52%、36.26%和47.83%,差异有统计学意义(x2=8.792、7.813、12.216,P<0.05).结论:基于物联网技术的应急医疗设备可视化调配系统能够实现医院应急医疗设备调配出入库、设备定位及使用状态分析等功能,为医院应急医疗设备调配提供理论基础,最大程度地发挥应急医疗设备作用.

Abstract

Objective:To design a visual allocation system of emergency medical equipment based on the Internet of Things technology,and to realize the coordinated allocation of emergency medical equipment in hospitals.Methods:The client and server(C/S)architecture was adopted,and the design of emergency medical equipment visual allocation system was mainly based on Bluetooth 5.1 technology,with automatic acquisition and automatic analysis of Bluetooth positioning tag,low power consumption sensor and signal communication of Bluetooth Internet of Things base station.The sample data of 150 pieces of equipment managed by the traditional allocation center mode of The 900th Hospital of People's Liberation Army Joint Logistics Support Force from January to December 2021 were selected,and the sample data of 150 pieces of equipment allocation during the application of the visual allocation system from June 2022 to June 2023 were randomly selected,and the allocation response time and the allocation warehousing in and out time were compared.A total of 40 ventilator devices were randomly selected during the traditional allocation center mode and the visual allocation period,with 20 ventilators in each mode,the start-up rate,utilization rate and profitability of medical equipment during the service period were compared.Results:The visual allocation system can realize the functions of automatic equipment positioning,emergency deployment,ledger management,remote repair report and benefit analysis.The allocation response time,allocation outbound time and allocation inbound time of the visual allocation system were(19.61±3.119)min,(11.73±2.104)min,(10.21±2.165)min,respectively,which were shorter than(54.98±3.999)min,(21.54±2.811)min,(16.80±2.000)min of the traditional allocation center mode,the difference was statistically significant(t=85.407,34.229,27.395,P<0.05).The start-up rate,utilization rate and profitability of ventilator equipment using visual allocation mode were 78.24%,51.23%and 82.76%,respectively,which were higher than 43.52%,36.26%and 47.83%of the traditional allocation center mode,the difference was statistically significant(x2=8.792,7.813,12.216,P<0.05).Conclusion:The visual allocation system of emergency medical equipment based on the Internet of Things technology can realize the functions of emergency medical equipment allocation and storage,equipment positioning and use status analysis,provide a theoretical basis for the allocation of hospital emergency medical equipment,and maximize the role of emergency medical equipment.

关键词

应急医疗设备/物联网/蓝牙5.1技术/可视化调配

Key words

Emergency medical equipment/Internet of Things/Bluetooth 5.1 technology/Visual allocation

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出版年

2024
中国医学装备
中国医学装备协会

中国医学装备

CSTPCD
影响因子:0.882
ISSN:1672-8270
参考文献量14
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