基于全员生产维护理论的医疗设备管理系统的构建与应用  

Construction and application of medical equipment management system based on the theory of TPM

作　　者：屠强 刘振峰 陈欢欢[2] Tu Qiang;Liu Zhenfeng;Chen Huanhuan(Information Center,West Campus of the First Affiliated Hospital of University of Science and Technology of China,Hefei 230001,China;School of Computer Science and Technology,University of Science and Technology of China,Hefei 230026,China)

机构地区：[1]中国科学技术大学附属第一医院西区(安徽省肿瘤医院)信息中心,合肥230001 [2]中国科学技术大学计算机科学与技术学院,合肥230026

出　　处：《中国医学装备》2024年第12期114-118,共5页China Medical Equipment

基　　金：国家自然科学基金项目(62176245)。

摘　　要：目的:构建基于全员生产维护(TPM)理论的医疗设备管理系统,探讨其在医疗设备管理中的应用价值。方法:借助数字电路、无线网络、传感器、大数据交互等技术将TPM理论深入融合至医疗设备管理中,采用物联网技术采集医疗设备运行数据,采用数据抽取-转换-加载(ETL)过滤技术、大数据挖掘和分析技术处理数据并对外展现,提供医疗设备服务量、收益、工作效率、科室效益分析、单机效益分析等服务。选取2021年6月至2024年3月中国科学技术大学附属第一医院西区(安徽省肿瘤医院)医院超声医学科在用的20台超声医学设备,将2021年6月至2022年11月期间的13台设备纳入对照组,采用传统记录单形式进行管理;将2022年12月至2024年3月期间的17台设备纳入观察组(包括对照组的10台和新增加的7台),采用基于TMP理论的医疗设备管理系统管理。比较两组超声医学设备运行质量以及综合效率水平。结果:观察组设备的平均故障率(5.71±0.30)%,低于对照组的(8.26±0.34)%,差异有统计学意义(t=2.297,P<0.05);自修率、保养及时率和操作规范率分别为(88.66±5.69)%、97.63±5.58%和(98.13±4.54)%,高于对照组的(55.95±6.56)%、(70.53±4.67)%和(86.95±3.84)%,差异均有统计学意义(t=2.636、3.869、2.974,P<0.05)。设备综合效率上,观察组设备的平均可用率、性能指标比值和质量指标比值均高于对照组,差异均有统计学意义(t=5.672、7.235、4.556,P<0.05)。结论:基于TPM理论的医疗设备管理系统可实现医疗设备智能化管理和运行监测,提高设备运行质量和综合效率水平,使医疗设备管理更加智能化和精细化。Objective:To construct a medical equipment management system based on the total productive maintenance(TPM)theory and explore its application value in medical equipment management.Methods:With the help of technologies such as digital circuits,wireless networks,sensors,and big data interaction,the TPM theory was deeply integrated into medical equipment management.The Internet of Things technology was used to collect the operation data of medical equipment,and the data extraction-transformation-loading(ETL)filtering technology,big data mining and analysis technology were adopted to process the data and display it externally,providing services such as medical equipment service volume,revenue,work efficiency,department benefit analysis,and single-machine benefit analysis.Twenty ultrasound medical devices in use from June 2021 to March 2024 in the Department of Ultrasonic Medicine of the West District Hospital of the First Affiliated Hospital of the University of Science and Technology of China(Anhui Provincial Cancer Hospital)were selected.Thirteen devices from June 2021 to November 2022 were included in the control group and managed in the form of traditional record sheets.Seventeen devices from December 2022 to March 2024 were included in the observation group(including 10 devices from the control group and 7 newly added ones),and managed by the medical equipment management system based on the TPM theory.The operation quality and comprehensive efficiency levels of the ultrasonic medical equipment in the two groups were compared.Result:The average failure rate of the equipment in the observation group was(5.71±0.30)%,which was lower than that in the control group[(8.26±0.34)%],and the difference was statistically significant(t=2.297,P<0.05).The self-repair rate,timely maintenance rate and standardized operation rate were(88.66±5.69)%,(97.63±5.58)%and(98.13±4.54)%respectively,which were higher than those in the control group[(55.95±6.56)%,(70.53±4.67)%and(86.95±3.84)%],and the differences were all statistical

关 键 词：全员生产保全 医疗设备 设备管理 物联网 

分 类 号：R197.324[医药卫生—卫生事业管理]