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Analytical Sigma metrics: A review of Six Sigma implementation tools for medical laboratories
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 instrum...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Croatian Society of Medical Biochemistry and Laboratory Medicine
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6039161/ https://www.ncbi.nlm.nih.gov/pubmed/30022879 http://dx.doi.org/10.11613/BM.2018.020502 |
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author | Westgard, Sten Bayat, Hassan Westgard, James O |
author_facet | Westgard, Sten Bayat, Hassan Westgard, James O |
author_sort | Westgard, Sten |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6039161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Croatian Society of Medical Biochemistry and Laboratory Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-60391612018-07-18 Analytical Sigma metrics: A review of Six Sigma implementation tools for medical laboratories Westgard, Sten Bayat, Hassan Westgard, James O Biochem Med (Zagreb) Review 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. Croatian Society of Medical Biochemistry and Laboratory Medicine 2018-06-15 2018-06-15 /pmc/articles/PMC6039161/ /pubmed/30022879 http://dx.doi.org/10.11613/BM.2018.020502 Text en ©Croatian Society of Medical Biochemistry and Laboratory Medicine. This is an Open Access article distributed under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Westgard, Sten Bayat, Hassan Westgard, James O Analytical Sigma metrics: A review of Six Sigma implementation tools for medical laboratories |
title | Analytical Sigma metrics: A review of Six Sigma implementation tools for medical laboratories |
title_full | Analytical Sigma metrics: A review of Six Sigma implementation tools for medical laboratories |
title_fullStr | Analytical Sigma metrics: A review of Six Sigma implementation tools for medical laboratories |
title_full_unstemmed | Analytical Sigma metrics: A review of Six Sigma implementation tools for medical laboratories |
title_short | Analytical Sigma metrics: A review of Six Sigma implementation tools for medical laboratories |
title_sort | analytical sigma metrics: a review of six sigma implementation tools for medical laboratories |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6039161/ https://www.ncbi.nlm.nih.gov/pubmed/30022879 http://dx.doi.org/10.11613/BM.2018.020502 |
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