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作 者:钟添萍[1] 张肖宁 郑丽纯[1] Zhong Tianping;Zhang Xiaoning;Zheng Lichun(Department of Medical Devices,Nanjing Stomatological Hospital,Affiliated Stomatological Hospital of Medical School,Nanjing University,Nanjing 210008,China)
机构地区:[1]南京大学医学院附属口腔医院南京市口腔医院医疗设备科,南京210008
出 处:《中国医学装备》2024年第6期29-33,39,共6页China Medical Equipment
基 金:江苏省医院协会医院管理创新研究课题面上指导项目(JSYGY-3-2023-344);南京大学医学院附属口腔医院3456骨干人才资助项目(0222M502)。
摘 要:目的:基于医院压力蒸汽灭菌器的故障数据,分析评估医疗机构中压力蒸汽灭菌器的可靠性。方法:利用威布尔分布(Weibull分布)、指数分布(Exponential分布)、对数-正态分布(Log-Normal分布)和q-威布尔分布(q-Weibull分布)4种统计模型对压力蒸汽灭菌器的故障数据进行分析,并使用图表工具展示不同分布统计模型在拟合数据时的性能。结果:4种统计模型对比显示,Log-Normal分布统计模型的修正赤池信息准则为564.4512,贝叶斯准则(568.7691)值最低,柯尔莫哥洛夫-斯米尔诺夫(KS)统计量(0.0739)最小,P值最大(P>0.05),表明分布拟合效果最好,最适合用于分析压力蒸汽灭菌器故障数据集的模型。结论:通过使用不同统计模型对压力蒸汽灭菌器故障数据的可靠性分析,可以为临床工程师优化压力蒸汽灭菌器维护策略提供依据。Objective:To analyze and assess the reliability of autoclaves of medical institution based on the failure data of the autoclaves of hospital.Methods:The failure data of autoclaves were analyzed by using four statistical models:Weibull distribution,Exponential distribution,Log-Normal distribution,and q-Weibull distribution.Chart tools were used to show the performance of different statistical distribution models in fitting data.Results:Comparisons of 4 kinds of statistical models revealed that the corrected Akaike Information Criterion(AICc)of statistical model of Log-Normal distribution was 564.4512,and the Bayesian Information Criterion(BIC)value(568.7691)of that was the lowest,and KS statistic(0.0739)of that was the smallest(P>0.05).Therefore,fitting effect of statistical model of Log-Normal distribution was the best fit,which was the most suitable model for analyzing the failure data set of autoclaves.Conclusion:Utilizing different statistical models to conduct the reliability analysis for failure data of autoclave can provide references for clinical engineers in optimizing maintenance strategies for autoclave.
分 类 号:R193.97[医药卫生—卫生事业管理] R318[医药卫生—公共卫生与预防医学]
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