成立手术室失效模式和效应分析(failure mode and effect analysis,FMEA)小组,对2006年所有手术进行手术错误风险评估,通过计算事先风险数,将6个潜在失效原因列为手术错误的高风险因子,分別是接错患者/接手术患者单抄错,接错患者/未与...成立手术室失效模式和效应分析(failure mode and effect analysis,FMEA)小组,对2006年所有手术进行手术错误风险评估,通过计算事先风险数,将6个潜在失效原因列为手术错误的高风险因子,分別是接错患者/接手术患者单抄错,接错患者/未与病房护士查对,查对不准确/患者表达能力受限,患者送错手术间/同时接几名患者,麻醉师、医生未查对/对麻醉师及医生无明确查对要求,部位错误/术前未做标识。根据评估结果,制定改进措施,并于2007年1月开始实施。结果表明,该6个导致手术错误的高风险因子的事先风险数都有不同程度的下降。可见加强查对、健全风险管理制度、明确相关人员的责任、合理使用查对标识对预防手术错误是有效可行的。展开更多
For the product degradation process with random effect (RE), measurement error (ME) and nonlinearity in step-stress accelerated degradation test (SSADT), the nonlinear Wiener based degradation model with RE and ME is ...For the product degradation process with random effect (RE), measurement error (ME) and nonlinearity in step-stress accelerated degradation test (SSADT), the nonlinear Wiener based degradation model with RE and ME is built. An analytical approximation to the probability density function (PDF) of the product's lifetime is derived in a closed form. The process and data of SSADT are analyzed to obtain the relation model of the observed data under each accelerated stress. The likelihood function for the population-based observed data is constructed. The population-based model parameters and its random coefficient prior values are estimated. According to the newly observed data of the target product in SSADT, an analytical approximation to the PDF of its residual lifetime (RL) is derived in accordance with its individual degradation characteristics. The parameter updating method based on Bayesian inference is applied to obtain the posterior value of random coefficient of the RL model. A numerical example by simulation is analyzed to verify the accuracy and advantage of the proposed model.展开更多
文摘成立手术室失效模式和效应分析(failure mode and effect analysis,FMEA)小组,对2006年所有手术进行手术错误风险评估,通过计算事先风险数,将6个潜在失效原因列为手术错误的高风险因子,分別是接错患者/接手术患者单抄错,接错患者/未与病房护士查对,查对不准确/患者表达能力受限,患者送错手术间/同时接几名患者,麻醉师、医生未查对/对麻醉师及医生无明确查对要求,部位错误/术前未做标识。根据评估结果,制定改进措施,并于2007年1月开始实施。结果表明,该6个导致手术错误的高风险因子的事先风险数都有不同程度的下降。可见加强查对、健全风险管理制度、明确相关人员的责任、合理使用查对标识对预防手术错误是有效可行的。
基金supported by the National Defense Foundation of China(71601183)
文摘For the product degradation process with random effect (RE), measurement error (ME) and nonlinearity in step-stress accelerated degradation test (SSADT), the nonlinear Wiener based degradation model with RE and ME is built. An analytical approximation to the probability density function (PDF) of the product's lifetime is derived in a closed form. The process and data of SSADT are analyzed to obtain the relation model of the observed data under each accelerated stress. The likelihood function for the population-based observed data is constructed. The population-based model parameters and its random coefficient prior values are estimated. According to the newly observed data of the target product in SSADT, an analytical approximation to the PDF of its residual lifetime (RL) is derived in accordance with its individual degradation characteristics. The parameter updating method based on Bayesian inference is applied to obtain the posterior value of random coefficient of the RL model. A numerical example by simulation is analyzed to verify the accuracy and advantage of the proposed model.
