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Strategies for the Successful Implementation of Viral Laboratory Automation

It has been estimated that more than 70% of all medical activity is directly related to information providing analytical data. Substantial technological advances have taken place recently, which have allowed a previously unimagined number of analytical samples to be processed while offering high qua...

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Detalles Bibliográficos
Autor principal: Avivar, Cristóbal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Open 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522095/
https://www.ncbi.nlm.nih.gov/pubmed/23248733
http://dx.doi.org/10.2174/1874357901206010115
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author Avivar, Cristóbal
author_facet Avivar, Cristóbal
author_sort Avivar, Cristóbal
collection PubMed
description It has been estimated that more than 70% of all medical activity is directly related to information providing analytical data. Substantial technological advances have taken place recently, which have allowed a previously unimagined number of analytical samples to be processed while offering high quality results. Concurrently, yet more new diagnostic determinations have been introduced - all of which has led to a significant increase in the prescription of analytical parameters. This increased workload has placed great pressure on the laboratory with respect to health costs. The present manager of the Clinical Laboratory (CL) has had to examine cost control as well as rationing - meaning that the CL’s focus has not been strictly metrological, as if it were purely a system producing results, but instead has had to concentrate on its efficiency and efficacy. By applying re-engineering criteria, an emphasis has had to be placed on improved organisation and operating practice within the CL, focussing on the current criteria of the Integrated Management Areas where the technical and human resources are brought together. This re-engineering has been based on the concepts of consolidating and integrating the analytical platforms, while differentiating the production areas (CORE Laboratory) from the information areas. With these present concepts in mind, automation and virological treatment, along with serology in general, follow the same criteria as the rest of the operating methodology in the Clinical Laboratory.
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spelling pubmed-35220952012-12-17 Strategies for the Successful Implementation of Viral Laboratory Automation Avivar, Cristóbal Open Virol J Article It has been estimated that more than 70% of all medical activity is directly related to information providing analytical data. Substantial technological advances have taken place recently, which have allowed a previously unimagined number of analytical samples to be processed while offering high quality results. Concurrently, yet more new diagnostic determinations have been introduced - all of which has led to a significant increase in the prescription of analytical parameters. This increased workload has placed great pressure on the laboratory with respect to health costs. The present manager of the Clinical Laboratory (CL) has had to examine cost control as well as rationing - meaning that the CL’s focus has not been strictly metrological, as if it were purely a system producing results, but instead has had to concentrate on its efficiency and efficacy. By applying re-engineering criteria, an emphasis has had to be placed on improved organisation and operating practice within the CL, focussing on the current criteria of the Integrated Management Areas where the technical and human resources are brought together. This re-engineering has been based on the concepts of consolidating and integrating the analytical platforms, while differentiating the production areas (CORE Laboratory) from the information areas. With these present concepts in mind, automation and virological treatment, along with serology in general, follow the same criteria as the rest of the operating methodology in the Clinical Laboratory. Bentham Open 2012-11-30 /pmc/articles/PMC3522095/ /pubmed/23248733 http://dx.doi.org/10.2174/1874357901206010115 Text en © Cristóbal Avivar; Licensee Bentham Open http: //creativecommons.org/licenses/by-nc/3.0/ This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http: //creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Avivar, Cristóbal
Strategies for the Successful Implementation of Viral Laboratory Automation
title Strategies for the Successful Implementation of Viral Laboratory Automation
title_full Strategies for the Successful Implementation of Viral Laboratory Automation
title_fullStr Strategies for the Successful Implementation of Viral Laboratory Automation
title_full_unstemmed Strategies for the Successful Implementation of Viral Laboratory Automation
title_short Strategies for the Successful Implementation of Viral Laboratory Automation
title_sort strategies for the successful implementation of viral laboratory automation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522095/
https://www.ncbi.nlm.nih.gov/pubmed/23248733
http://dx.doi.org/10.2174/1874357901206010115
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