摘要
目的:基于模糊聚类评估技术构建心电监护仪运行质量管理模型,探讨其在心电监护仪质量管理中的应用效果。方法:从故障诊断和运行质量评估两方面进行心电监护仪质量管理,构建硬件结构和系统性能评估指标体系,采用模糊聚类算法进行运行健康状态等级评定,根据评估结果进行设备分类管理和预警检修。选取2022年1—12月首都医科大学附属北京友谊医院急诊科在用的心电监护仪设备,将1—6月期间在用的12台设备采用常规心电监护仪监测管理方法(简称常规管理),7—12月期间在用的13台设备基于模糊聚类评估技术构建心电监护仪运行质量管理模型(简称质量管理)进行管理。研究期间常规管理方法共收集440项报警参数数据,质量管理方法收集480项报警参数数据,对比两种管理方法的心电监护仪报警参数正确率、设备使用人员使用满意度评分和月故障发生率。结果:采用质量管理方法的心电监护仪报警参数设置正确率为90.21%(433/480),高于常规管理方法,差异有统计学意义(χ^(2)=8.265,P<0.05);设备使用人员对采用质量管理方法心电监护仪系统质量、服务质量、信息质量、净收益、用户满意度和总满意度评分分别为(19.47±3.25)分、(19.55±4.14)分、(18.92±2.08)分、(19.34±2.39)分、(19.82±3.37)分和(97.10±3.39)分,均高于常规管理方法,差异有统计学意义(t=7.358、4.481、2.859、5.304、2.297、29.001,P<0.05);采用质量管理方法的心电监护仪6个月内发生故障15次,月均故障发生率为3.97%,低于常规管理方法(12.71%),差异有统计学意义(χ^(2)=4.672,P<0.05)。结论:基于模糊聚类评估技术的心电监护仪运行质量管理模型应用于急诊科心电监护仪管理,可有效提高心电监护仪的正确报警率,降低心电监护仪故障发生率,提高设备使用人员使用满意度。
Objective:To construct the operation quality management model of ECG monitor based on fuzzy cluster evaluation technology,and to explore its application effect in ECG monitor operating health management.Methods:The quality management of ECG monitor was carried out from two aspects of fault diagnosis and operation health evaluation,and the evaluation index system of hardware structure and system performance was established.The fuzzy clustering algorithm was used to grade the operation health status,and the equipment classification management and early warning maintenance were carried out according to the evaluation results.The ECG monitor equipment in clinical use in the Emergency Department of Beijing Friendship Hospital Capital Medical University from January to December 2022 was selected,12 devices in clinical use from January to June were managed by conventional ECG monitor monitoring and management method(referred to as conventional management),and 13 devices in clinical use from July to December were managed by constructing a health management model for ECG monitors based on fuzzy clustering evaluation technology(referred to as health management).During the study,a total of 440 alarm parameter data were collected by the conventional management method and 480 alarm parameter data by the health management method,the accuracy of the ECG monitor alarm parameters,the satisfaction score of equipment users and the monthly failure rates of the two groups were compared.Results:The accuracy rate of ECG monitor alarm parameter setting using the health management method was 90.21%(433/480),which was higher than that of the conventional management,he difference was statistically significant(χ^(2)=8.265,P<0.05).The scores of equipment users on the system quality,service quality,information quality,net benefit,user satisfaction and total satisfaction of ECG monitors using health management methods were(19.47±3.25),(19.55±4.14),(18.92±2.08),(19.34±2.39),(19.82±3.37)and(97.10±3.39),respectively,which were higher than those using conventional management methods,the differences were statistically significant(t=7.358,4.481,2.859,5.304,2.297,29.001,P<0.05).The ECG monitor using the health management method failed 15 times in 6 months,and the failure incidence rate was 3.97%,which was lower than that of the conventional management method(12.71%),the difference was statistically significant(χ^(2)=4.672,P<0.05).Conclusion:The application of ECG monitor operation health management model based on fuzzy clustering evaluation technology to the ECG monitor management in the emergency department can effectively improve the correct alarm rate of the ECG monitor,reduce the failure rate of the ECG monitor,and improve the satisfaction of equipment users.
作者
王梅
张志忠
于亚军
徐亚楠
Wang Mei;Zhang Zhizhong;Yu Yajun;Xu Yanan(Department of Emergency,Beijing Friendship Hospital,Capital Medical University,Beijing 100050,China)
出处
《中国医学装备》
2024年第8期137-141,共5页
China Medical Equipment
关键词
模糊聚类
运行质量评估
故障诊断
预防性维修
Fuzzy clustering
Operational health assessment
Fault diagnosis
Preventive maintenance
