Literature DB >> 23331728

Prioritizing risk analysis quality control plans based on Sigma-metrics.

Sten Westgard1.   

Abstract

Six Sigma provides data-driven techniques that can enhance and improve the EP23 risk management approach for formulating quality control (QC) Plans. Risk analysis has significant drawbacks in its ability to identify and appropriately prioritize hazards and failure modes for mitigation of risks. Six Sigma quality management is inherently risk oriented on the basis of the required tolerance limits that define defective products. Six Sigma QC tools provide a quantitative assessment of method performance and an objective selection/design of statistical QC procedures. Furthermore, the observed sigma performance of a method is useful for prioritizing the need for development of QC plans.
Copyright © 2013 Elsevier Inc. All rights reserved.

Mesh:

Year:  2012        PMID: 23331728     DOI: 10.1016/j.cll.2012.11.008

Source DB:  PubMed          Journal:  Clin Lab Med        ISSN: 0272-2712            Impact factor:   1.935


  5 in total

Review 1.  Informatics and the clinical laboratory.

Authors:  Richard G Jones; Owen A Johnson; Gifford Batstone
Journal:  Clin Biochem Rev       Date:  2014-08

2.  Application of Sigma metrics in assessing the clinical performance of verified versus non-verified reagents for routine biochemical analytes.

Authors:  Shuang Cao; Xiaosong Qin
Journal:  Biochem Med (Zagreb)       Date:  2018-06-15       Impact factor: 2.313

3.  Management of Cytomegalovirus, Epstein-Barr Virus, and HIV Viral Load Quality Control Data Using Unity Real Time.

Authors:  Duane W Newton; Nico Vandepoele; John C Yundt-Pacheco; David Gauthier; Michael A Bachman
Journal:  J Clin Microbiol       Date:  2021-10-20       Impact factor: 5.948

4.  Risk analysis and assessment based on Sigma metrics and intended use.

Authors:  Yong Xia; Hao Xue; Cunliang Yan; Bowen Li; ShuQiong Zhang; Mingyang Li; Ling Ji
Journal:  Biochem Med (Zagreb)       Date:  2018-06-15       Impact factor: 2.313

5.  Analytical performance assessment and improvement by means of the Failure mode and effect analysis (FMEA).

Authors:  Leonor Guiñón; Anna Soler; Mónica Gisell Díaz; Rosa María Fernández; Nayra Rico; Josep Lluís Bedini; Aurea Mira; Luisa Alvarez
Journal:  Biochem Med (Zagreb)       Date:  2020-04-15       Impact factor: 2.313

  5 in total

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