Analytical Sigma metrics: A review of Six Sigma implementation tools for medical laboratories

被引：50

作者：

Westgard, Sten ^{[1
]}

Bayat, Hassan ^{[2
]}

Westgard, James O. ^{[1
]}

机构：

[1] Westgard QC, Madison, WI 53717 USA

[2] Mazandaran Univ Med Sci, Immunogenet Res Ctr, Sari, Iran

来源：

BIOCHEMIA MEDICA | 2018年 / 28卷 / 02期

关键词：

Six Sigma metrics; quality control frequency; OPSpecs chart; method decision chart; Westgard rules; VS. MEASUREMENT UNCERTAINTY; BIOLOGICAL VARIATION DATA; QUALITY-CONTROL; PERFORMANCE SPECIFICATIONS; CLINICAL-CHEMISTRY; ERROR; MANAGEMENT; MODELS; STRATEGIES; SET;

D O I：

10.11613/BM.2018.020502

中图分类号：

R446 [实验室诊断]; R-33 [实验医学、医学实验];

学科分类号：

1001 ;

摘要：

Sigma metrics have become a useful tool for all parts of the quality control (QC) design process. Through the allowable total error model of laboratory testing, analytical assay performance can be judged on the Six Sigma scale. This not only allows benchmarking the performance of methods and instruments on a universal scale, it allows laboratories to easily visualize performance, optimize the QC rules and numbers of control measurements they implement, and now even schedule the frequency of running those controls.

引用

页数：12

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