Literature DB >> 10747306

Evaluating laboratory performance on quality indicators with the six sigma scale.

D Nevalainen1, L Berte, C Kraft, E Leigh, L Picaso, T Morgan.   

Abstract

CONTEXT: Laboratory quality indicator data, most often presented and reported as a percentage of variance, may be misleading, inasmuch as variances, and therefore percentages, appear to be low.
METHOD: Current data from laboratory quality indicators and national data derived from several years of College of American Pathologists Q-Probes studies were normalized to parts-per-million defects, as commonly practiced in the manufacturing and service industries for benchmarking performance.
RESULTS: Laboratory data in parts-per-million defects demonstrated opportunities for significant improvements in laboratory performance across the total testing process.
CONCLUSIONS: Historical quality assurance programs do not appear to be significantly improving the total testing process. Manufacturing and service industries are using quality systems strategies, such as ISO 9000 and the Baldridge Award Criteria, to effect improvements in both productivity and cost. Quality system solutions for performance improvement may provide a systematic approach to improving laboratory performance.

Mesh:

Year:  2000        PMID: 10747306     DOI: 10.5858/2000-124-0516-ELPOQI

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  33 in total

1.  Application of sigma metrics for the assessment of quality assurance in clinical biochemistry laboratory in India: a pilot study.

Authors:  Bhawna Singh; Binita Goswami; Vinod Kumar Gupta; Ranjna Chawla; Venkatesan Mallika
Journal:  Indian J Clin Biochem       Date:  2010-11-16

2.  Application of Sigma Metrics Analysis for the Assessment and Modification of Quality Control Program in the Clinical Chemistry Laboratory of a Tertiary Care Hospital.

Authors:  Sahar Iqbal; Tazeen Mustansar
Journal:  Indian J Clin Biochem       Date:  2016-04-07

3.  Lean six sigma methodologies improve clinical laboratory efficiency and reduce turnaround times.

Authors:  Tamer C Inal; Ozlem Goruroglu Ozturk; Filiz Kibar; Salih Cetiner; Selcuk Matyar; Gulcin Daglioglu; Akgun Yaman
Journal:  J Clin Lab Anal       Date:  2017-02-15       Impact factor: 2.352

4.  Evaluation of sampling spacing in pharmacokinetic studies using six sigma method.

Authors:  Tomasz Grabowski; Anna Raczyńska-Pawelec; Marcin Starościak; Jerzy Jan Jaroszewski
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-06-22       Impact factor: 2.745

5.  Analytical quality assessment and method comparison of immunoassays for the measurement of serum cobalamin and folate in dogs and cats.

Authors:  Susan A McLeish; Kay Burt; Kostas Papasouliotis
Journal:  J Vet Diagn Invest       Date:  2019-01-13       Impact factor: 1.279

Review 6.  Managing the pre- and post-analytical phases of the total testing process.

Authors:  Robert Hawkins
Journal:  Ann Lab Med       Date:  2011-12-20       Impact factor: 3.464

7.  Quality specifications of routine clinical chemistry methods based on sigma metrics in performance evaluation.

Authors:  Jun Xia; Su-Feng Chen; Fei Xu; Yong-Lie Zhou
Journal:  J Clin Lab Anal       Date:  2017-06-23       Impact factor: 2.352

8.  Quantitative application of sigma metrics in medical biochemistry.

Authors:  Sunil Kumar Nanda; Lopamudra Ray
Journal:  J Clin Diagn Res       Date:  2013-11-25

9.  The applicability of Lean and Six Sigma techniques to clinical and translational research.

Authors:  Sharon A Schweikhart; Allard E Dembe
Journal:  J Investig Med       Date:  2009-10       Impact factor: 2.895

10.  A core curriculum for clinical fellowship training in pathology informatics.

Authors:  David S McClintock; Bruce P Levy; William J Lane; Roy E Lee; Jason M Baron; Veronica E Klepeis; Maristela L Onozato; Jiyeon Kim; Anand S Dighe; Bruce A Beckwith; Frank Kuo; Stephen Black-Schaffer; John R Gilbertson
Journal:  J Pathol Inform       Date:  2012-08-30
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