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Permissible limits for uncertainty of measurement in laboratory medicine

机译:实验室医学中测量不确定度的允许极限

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摘要

The international standard ISO 15189 requires that medical laboratories estimate the uncertainty of their quantitative test results obtained from patients' specimens. The standard does not provide details how and within which limits the measurement uncertainty should be determined. The most common concept for establishing permissible uncertainty limits is to relate them on biological variation defining the rate of false positive results or to base the limits on the state-of-the-art. The state-of-the-art is usually derived from data provided by a group of selected medical laboratories. The approach on biological variation should be preferred because of its transparency and scientific base. Hitherto, all recommendations were based on a linear relationship between biological and analytical variation leading to limits which are sometimes too stringent or too permissive for routine testing in laboratory medicine. In contrast, the present proposal is based on a non-linear relationship between biological and analytical variation leading to more realistic limits. The proposed algorithms can be applied to all measurands and consider any quantity to be assured. The suggested approach tries to provide the above mentioned details and is a compromise between the biological variation concept, the GUM uncertainty model and the technical state-of-the-art.
机译:国际标准ISO 15189要求医学实验室评估从患者标本中获得的定量测试结果的不确定性。该标准未提供确定测量不确定度的方式和范围的详细信息。建立允许的不确定性限值的最常见概念是将其与定义假阳性结果发生率的生物学变异相关联,或将限值建立在最新技术水平的基础上。最先进的技术通常是从一组选定的医学实验室提供的数据中得出的。由于其透明性和科学基础,应该首选生物变异方法。迄今为止,所有建议均基于生物学和分析变异之间的线性关系,从而导致有时对实验室医学的常规检测而言过于严格或过于宽松的限制。相反,本提议基于生物学和分析变异之间的非线性关系,从而导致更现实的限制。所提出的算法可以应用于所有被测对象,并考虑要保证的任何数量。建议的方法试图提供上述细节,并且是生物变异概念,GUM不确定性模型和最新技术之间的折衷方案。

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