Literature DB >> 28153365

Applying Sigma Metrics to Reduce Outliers.

Joseph Litten1.   

Abstract

Sigma metrics can be used to predict assay quality, allowing easy comparison of instrument quality and predicting which tests will require minimal quality control (QC) rules to monitor the performance of the method. A Six Sigma QC program can result in fewer controls and fewer QC failures for methods with a sigma metric of 5 or better. The higher the number of methods with a sigma metric of 5 or better, the lower the costs for reagents, supplies, and control material required to monitor the performance of the methods.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  Instrumentation assessment; Laboratory standardization; QC rules failure rates; Quality control; Sigma metrics; Six sigma

Mesh:

Year:  2016        PMID: 28153365     DOI: 10.1016/j.cll.2016.09.014

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


  3 in total

1.  The application of sigma metrics in the laboratory to assess quality control processes in South Africa.

Authors:  Marli van Heerden; Jaya A George; Siyabonga Khoza
Journal:  Afr J Lab Med       Date:  2022-06-22

Review 2.  Analytical Sigma metrics: A review of Six Sigma implementation tools for medical laboratories.

Authors:  Sten Westgard; Hassan Bayat; James O Westgard
Journal:  Biochem Med (Zagreb)       Date:  2018-06-15       Impact factor: 2.313

3.  Uncertainty of Measurement in Laboratory Medicine.

Authors:  Neda Milinković; Svetlana Ignjatović; Zorica Šumarac; Nada Majkić-Singh
Journal:  J Med Biochem       Date:  2018-07-01       Impact factor: 3.402

  3 in total

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