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建立性能规范的传统模型的修改建议。

Proposal for the modification of the conventional model for establishing performance specifications.

出版信息

Clin Chem Lab Med. 2015 May;53(6):925-37. doi: 10.1515/cclm-2014-1146.

Abstract

Appropriate quality of test results is fundamental to the work of the medical laboratory. How to define the level of quality needed is a question that has been subject to much debate. Quality specifications have been defined based on criteria derived from the clinical applicability, validity of reference limits and reference change values, state-of-the-art performance, and other criteria, depending on the clinical application or technical characteristics of the measurement. Quality specifications are often expressed as the total error allowable (TEA) - the total amount of error that is medically, administratively, or legally acceptable. Following the TEA concept, bias and imprecision are combined into one number representing the "maximum allowable" error in the result. The commonly accepted method for calculation of the allowable error based on biological variation might, however, have room for improvement. In the present paper, we discuss common theories on the determination of quality specifications. A model is presented that combines the state-of-the-art with biological variation for the calculation of performance specifications. The validity of reference limits and reference change values are central to this model. The model applies to almost any test if biological variation can be defined. A pragmatic method for the design of internal quality control is presented.

摘要

检测结果的适当质量是医学实验室工作的基础。如何定义所需的质量水平是一个备受争议的问题。质量规范是基于从临床适用性、参考限值和参考变化值的有效性、最新性能以及其他标准中得出的标准来定义的,具体取决于测量的临床应用或技术特点。质量规范通常表示为总允许误差(TEA)-医学上、行政上或法律上可接受的总误差量。根据 TEA 概念,偏差和不精密度合并为一个数字,表示结果中“最大允许”的误差。然而,基于生物学变异计算允许误差的常用方法可能需要改进。在本文中,我们讨论了确定质量规范的常见理论。提出了一种将最新技术与生物学变异相结合的模型,用于计算性能规范。该模型的有效性取决于参考限值和参考变化值。如果可以定义生物学变异,该模型适用于几乎任何测试。还提出了一种实用的内部质量控制设计方法。

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