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Timeliness “at a glance”: assessing the turnaround time through the six sigma metrics

Almost thirty years of systematic analysis have proven the turnaround time to be a fundamental dimension for the clinical laboratory. Several indicators are to date available to assess and report quality with respect to timeliness, but they sometimes lack the communicative immediacy and accuracy. Th...

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Detalles Bibliográficos
Autores principales: Ialongo, Cristiano, Bernardini, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Croatian Society of Medical Biochemistry and Laboratory Medicine 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4907343/
https://www.ncbi.nlm.nih.gov/pubmed/27019886
http://dx.doi.org/10.11613/BM.2016.010
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author Ialongo, Cristiano
Bernardini, Sergio
author_facet Ialongo, Cristiano
Bernardini, Sergio
author_sort Ialongo, Cristiano
collection PubMed
description Almost thirty years of systematic analysis have proven the turnaround time to be a fundamental dimension for the clinical laboratory. Several indicators are to date available to assess and report quality with respect to timeliness, but they sometimes lack the communicative immediacy and accuracy. The six sigma is a paradigm developed within the industrial domain for assessing quality and addressing goal and issues. The sigma level computed through the Z-score method is a simple and straightforward tool which delivers quality by a universal dimensionless scale and allows to handle non-normal data. Herein we report our preliminary experience in using the sigma level to assess the change in urgent (STAT) test turnaround time due to the implementation of total automation. We found that the Z-score method is a valuable and easy to use method for assessing and communicating the quality level of laboratory timeliness, providing a good correspondence with the actual change in efficiency which was retrospectively observed.
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spelling pubmed-49073432016-06-16 Timeliness “at a glance”: assessing the turnaround time through the six sigma metrics Ialongo, Cristiano Bernardini, Sergio Biochem Med (Zagreb) Research Article Almost thirty years of systematic analysis have proven the turnaround time to be a fundamental dimension for the clinical laboratory. Several indicators are to date available to assess and report quality with respect to timeliness, but they sometimes lack the communicative immediacy and accuracy. The six sigma is a paradigm developed within the industrial domain for assessing quality and addressing goal and issues. The sigma level computed through the Z-score method is a simple and straightforward tool which delivers quality by a universal dimensionless scale and allows to handle non-normal data. Herein we report our preliminary experience in using the sigma level to assess the change in urgent (STAT) test turnaround time due to the implementation of total automation. We found that the Z-score method is a valuable and easy to use method for assessing and communicating the quality level of laboratory timeliness, providing a good correspondence with the actual change in efficiency which was retrospectively observed. Croatian Society of Medical Biochemistry and Laboratory Medicine 2016-02-15 2016-02-15 /pmc/articles/PMC4907343/ /pubmed/27019886 http://dx.doi.org/10.11613/BM.2016.010 Text en
spellingShingle Research Article
Ialongo, Cristiano
Bernardini, Sergio
Timeliness “at a glance”: assessing the turnaround time through the six sigma metrics
title Timeliness “at a glance”: assessing the turnaround time through the six sigma metrics
title_full Timeliness “at a glance”: assessing the turnaround time through the six sigma metrics
title_fullStr Timeliness “at a glance”: assessing the turnaround time through the six sigma metrics
title_full_unstemmed Timeliness “at a glance”: assessing the turnaround time through the six sigma metrics
title_short Timeliness “at a glance”: assessing the turnaround time through the six sigma metrics
title_sort timeliness “at a glance”: assessing the turnaround time through the six sigma metrics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4907343/
https://www.ncbi.nlm.nih.gov/pubmed/27019886
http://dx.doi.org/10.11613/BM.2016.010
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