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作 者:魏昊业 柳青[1] 宗会迁[1] WEI Haoye;LIU Qing;ZONG Huiqian(Department of Equipment Maintenance,The Second Hospital of Hebei Medical University,Shijiazhuang Hebei 050000,China)
机构地区:[1]河北医科大学第二医院医疗设备维保中心,河北石家庄050000
出 处:《中国医疗设备》2022年第3期170-173,共4页China Medical Devices
基 金:河北省医学科学研究课题计划(20220088)。
摘 要:本文通过分析我院2020年呼吸机月度质控数据中潮气量、吸气压力、氧浓度误差的变化,发现3例潜在故障数据的误差变化范围和变化趋势出现明显增大和上升。潜在故障主要集中在流量传感器、内部气路管路、氧浓度监测单元。结合潜在故障数据及报错信息统一分析,逐一排查故障问题,通过拆机排查和质控数据检测对每类潜在故障分析进行验证,并给出详细的解决方案,可避免61%的潜在故障进一步扩大。通过早期发现和解决潜在故障能够有效降低设备维修成本,并提高设备的使用效率和安全性。Based on the analysis of the changes in the errors of tidal volume,inspiratory pressure and oxygen concentration in the monthly quality control data of ventilators in our hospital in 2020,it was found that the error range and trend of the potential failure data of 3 cases increased significantly.The potential faults were mainly concentrated on flow sensor,internal gas pipeline,and oxygen concentration monitoring unit.Combined with the potential fault data and error information unified analysis,troubleshot faults one by one,through disassembly troubleshooting and quality control data detection to verify each type of potential fault analysis,and give detailed solutions,it could avoid 61%of the potential fault further expansion.Early detection and resolution of potential faults can effectively reduce the cost of equipment maintenance,and improve the efficiency and safety of equipment.
分 类 号:R197.39[医药卫生—卫生事业管理] TH77[医药卫生—公共卫生与预防医学]
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