National Institute for Public Health and the Environment, RIVM, Centre for Quality of Chemical-Pharmaceutical Products, Bilthoven, The Netherlands.
J Pharm Biomed Anal. 2009 Dec 5;50(5):1085-7. doi: 10.1016/j.jpba.2009.06.049. Epub 2009 Jul 7.
We subjected a Near-Infrared (NIR) analytical procedure used for screening drugs on authenticity to a Failure Mode and Effects Analysis (FMEA), including technical risks as well as risks related to human failure. An FMEA team broke down the NIR analytical method into process steps and identified possible failure modes for each step. Each failure mode was ranked on estimated frequency of occurrence (O), probability that the failure would remain undetected later in the process (D) and severity (S), each on a scale of 1-10. Human errors turned out to be the most common cause of failure modes. Failure risks were calculated by Risk Priority Numbers (RPNs)=O x D x S. Failure modes with the highest RPN scores were subjected to corrective actions and the FMEA was repeated, showing reductions in RPN scores and resulting in improvement indices up to 5.0. We recommend risk analysis as an addition to the usual analytical validation, as the FMEA enabled us to detect previously unidentified risks.
我们对用于药物真伪筛选的近红外(NIR)分析程序进行了失效模式和影响分析(FMEA),包括技术风险以及与人为失误相关的风险。FMEA 团队将 NIR 分析方法分解为各个步骤,并确定了每个步骤可能出现的失效模式。每个失效模式的发生频率(O)、在后续过程中未被发现的概率(D)和严重程度(S)均按 1-10 的等级进行评分。人为错误是失效模式最常见的原因。通过风险优先数(RPN)=OxDxS 计算失效风险。RPN 得分最高的失效模式将采取纠正措施,并重新进行 FMEA,从而降低 RPN 得分,并达到最高 5.0 的改进指数。我们建议将风险分析作为常规分析验证的补充,因为 FMEA 使我们能够发现以前未被识别的风险。