Literature DB >> 28153373

Sigma Metrics Across the Total Testing Process.

Navapun Charuruks1.   

Abstract

Laboratory quality control has been developed for several decades to ensure patients' safety, from a statistical quality control focus on the analytical phase to total laboratory processes. The sigma concept provides a convenient way to quantify the number of errors in extra-analytical and analytical phases through the defect per million and sigma metric equation. Participation in a sigma verification program can be a convenient way to monitor analytical performance continuous quality improvement. Improvement of sigma-scale performance has been shown from our data. New tools and techniques for integration are needed.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Defect per million (DPM); Individualized quality control plan (IQCP); Laboratory processes; Risk management; Sigma metrics; Sigma verification program (SVP); Statistical quality control (SQC)

Mesh:

Year:  2016        PMID: 28153373     DOI: 10.1016/j.cll.2016.09.009

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


  5 in total

1.  Evaluation of Sigma Metrics and Westgard Rule Selection and Implementation of Internal Quality Control in Clinical Chemistry Reference Laboratory, Ethiopian Public Health Institute.

Authors:  Zeleke Geto; Tigist Getahun; Tadesse Lejisa; Yosef Tolcha; Demirew Bikila; Chala Bashea; Mehari Meles; Wossene Habtu; Genet Ashebir; Bikila Negasa; Meron Sileshi; Yeabkal Daniel; Andargachew Gashu; Feyissa Challa
Journal:  Indian J Clin Biochem       Date:  2021-08-02

2.  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 3.  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

4.  Using Sigma metrics to establish analytical product performance requirements and optimize analytical performance of an in vitro diagnostic assay using a theoretical total PSA assay as an example.

Authors:  Victoria Petrides; Sharon Schneider
Journal:  Biochem Med (Zagreb)       Date:  2018-06-15       Impact factor: 2.313

5.  Comparison and optimization of various moving patient-based real-time quality control procedures for serum sodium.

Authors:  Yuanyuan Li; Qian Yu; Xiaoyan Zhang; Xiaoling Chen
Journal:  J Clin Lab Anal       Date:  2021-09-14       Impact factor: 2.352

  5 in total

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