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Risk assessment using paired comparison expert judgment for ranking of compounding outsourcing facilities

机译:使用配对比较专家判断对复合外包设施进行排名的风险评估

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摘要

Government regulators, like other managers and decision makers, are often faced with the challenge of completing a task or project with scarce resources. In such cases, decision makers must optimitize allocation of their insufficient resources to achieve the best outcome. For regulators like the Internal Revenue Service (IRS) and the U.S. Food and Drug Administration (FDA), optimitization of scarce audit resources is accomplished through ranking of individuals or institutions based on risks and other deciding factors. In this paper, we will discuss a novel application of the paired comparison expert judgment technique to develop a risk-ranking model that can allow FDA regulators to efficiently allocate their resources and focus on pharmacy compounding firms that could pose the greatest public health risk. Empirical research on the factors that can assess compounding risks is explored to understand their influences. Sensitivity analysis of these risk factors identified the top factors that had the most significant effect on the outcome of the quantitative risk assessment model. The resulting model from this research is inclusive as it was developed with inputs from experts from the federal and state governments, and also members of the pharmacy compounding industry. As such, it can be beneficial to stakeholders from both the private and public pharmacy compounding sectors.
机译:像其他管理者和决策者一样,政府监管者通常面临着用稀缺资源完成一项任务或项目的挑战。在这种情况下,决策者必须优化其不足资源的分配以实现最佳结果。对于美国国税局(IRS)和美国食品药品监督管理局(FDA)等监管机构而言,稀缺审计资源的优化是通过根据风险和其他决定性因素对个人或机构进行排名来实现的。在本文中,我们将讨论配对比较专家判断技术在开发风险分级模型中的新颖应用,该模型可以使FDA监管机构有效分配资源,并专注于可能带来最大公共卫生风险的制药公司。对可以评估复合风险的因素进行了实证研究,以了解其影响。这些风险因素的敏感性分析确定了对定量风险评估模型的结果影响最大的主要因素。这项研究得出的模型具有包容性,因为它是根据联邦和州政府的专家以及药学混合行业成员的意见而开发的。因此,这对私营和公共药房配制部门的利益相关者都是有益的。

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