目的探讨失效模式和效应分析(failure mode and effect analysis,FMEA)在改进MRI检查执行流程中提高预约执行准时率的效果。方法组建FMEA项目研究团队,运用FMEA对成都大学附属医院MRI检查执行流程中的失效环节进行风险分析,根据其严重程...目的探讨失效模式和效应分析(failure mode and effect analysis,FMEA)在改进MRI检查执行流程中提高预约执行准时率的效果。方法组建FMEA项目研究团队,运用FMEA对成都大学附属医院MRI检查执行流程中的失效环节进行风险分析,根据其严重程度(severity,S),发生频度(frequency of occurrence,O),可探测度(liklihood of detection,D),计算各环节风险优先数(risk priority number,RPN),对高风险环节进行流程再造,制定标准操作流程,观察预约执行准时率及医、患满意度改善情况。结果MRI预约检查执行准时率由改进前的50.00%上升到改进后的86.55%,患者满意度由原来的62.40%上升到87.28%,医护人员的满意度由原来的77.77%上升到87.78%,P均<0.05,有统计学意义。结论运用FMEA对住院患者MRI检查流程进行失效环节改进,有效改善了MRI的运行效率。展开更多
The overall punctuality of the railway system is of particular importance for customers in order to use trains as a means of public transport. Investigating the drivers of low punctuality of trains is an essential ste...The overall punctuality of the railway system is of particular importance for customers in order to use trains as a means of public transport. Investigating the drivers of low punctuality of trains is an essential step for improving their punctuality. Severe weather conditions are assumed to be one of the drivers of delays and low punctuality of the transportation system. This paper addresses the extent to which the weather factors such as temperature, snow,precipitation and wind influence the punctuality of trains on the Norwegian railways. The data for the study are collected from the passenger trains on the Nordland Line.The study period is 10 years, from the beginning of 2007 to the end of 2016. Data are analysed on a daily and weekly basis, and correlation and regression analyses are used to perform the statistical analysis. The results show that extreme cold weather during the winters is a crucial influencing factor contributing to delays and low punctuality. We also found that the weather variable that best explains variations in punctuality of passenger trains on this line is snow depth.展开更多
文摘目的探讨失效模式和效应分析(failure mode and effect analysis,FMEA)在改进MRI检查执行流程中提高预约执行准时率的效果。方法组建FMEA项目研究团队,运用FMEA对成都大学附属医院MRI检查执行流程中的失效环节进行风险分析,根据其严重程度(severity,S),发生频度(frequency of occurrence,O),可探测度(liklihood of detection,D),计算各环节风险优先数(risk priority number,RPN),对高风险环节进行流程再造,制定标准操作流程,观察预约执行准时率及医、患满意度改善情况。结果MRI预约检查执行准时率由改进前的50.00%上升到改进后的86.55%,患者满意度由原来的62.40%上升到87.28%,医护人员的满意度由原来的77.77%上升到87.78%,P均<0.05,有统计学意义。结论运用FMEA对住院患者MRI检查流程进行失效环节改进,有效改善了MRI的运行效率。
文摘The overall punctuality of the railway system is of particular importance for customers in order to use trains as a means of public transport. Investigating the drivers of low punctuality of trains is an essential step for improving their punctuality. Severe weather conditions are assumed to be one of the drivers of delays and low punctuality of the transportation system. This paper addresses the extent to which the weather factors such as temperature, snow,precipitation and wind influence the punctuality of trains on the Norwegian railways. The data for the study are collected from the passenger trains on the Nordland Line.The study period is 10 years, from the beginning of 2007 to the end of 2016. Data are analysed on a daily and weekly basis, and correlation and regression analyses are used to perform the statistical analysis. The results show that extreme cold weather during the winters is a crucial influencing factor contributing to delays and low punctuality. We also found that the weather variable that best explains variations in punctuality of passenger trains on this line is snow depth.
