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Leveraging analytics to assure quality during the Covid-19 pandemic - The COVACTA clinical study example
The world has seen a shift in the ways of working during the Covid-19 pandemic. Routine activities performed at the clinical investigator sites (e.g. on-site audits) that are a part of Quality Assurance (QA) have not been feasible at this time. Analytics has played a huge role in contributing to our...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546713/ https://www.ncbi.nlm.nih.gov/pubmed/33073053 http://dx.doi.org/10.1016/j.conctc.2020.100662 |
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author | Ménard, Timothé Bowling, Rich Mehta, Pooja Koneswarakantha, Björn Magruder, Eileen |
author_facet | Ménard, Timothé Bowling, Rich Mehta, Pooja Koneswarakantha, Björn Magruder, Eileen |
author_sort | Ménard, Timothé |
collection | PubMed |
description | The world has seen a shift in the ways of working during the Covid-19 pandemic. Routine activities performed at the clinical investigator sites (e.g. on-site audits) that are a part of Quality Assurance (QA) have not been feasible at this time. Analytics has played a huge role in contributing to our continued efforts of ensuring quality during the conduct of a clinical trial. Decisions driven through data, now more than ever, heavily contribute to the efficiency of QA activities. In this report, we share the approach we took to conduct QA activities for the COVACTA study (to treat Covid-19 pneumonia) by leveraging analytics. |
format | Online Article Text |
id | pubmed-7546713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-75467132020-10-13 Leveraging analytics to assure quality during the Covid-19 pandemic - The COVACTA clinical study example Ménard, Timothé Bowling, Rich Mehta, Pooja Koneswarakantha, Björn Magruder, Eileen Contemp Clin Trials Commun Short Communication The world has seen a shift in the ways of working during the Covid-19 pandemic. Routine activities performed at the clinical investigator sites (e.g. on-site audits) that are a part of Quality Assurance (QA) have not been feasible at this time. Analytics has played a huge role in contributing to our continued efforts of ensuring quality during the conduct of a clinical trial. Decisions driven through data, now more than ever, heavily contribute to the efficiency of QA activities. In this report, we share the approach we took to conduct QA activities for the COVACTA study (to treat Covid-19 pneumonia) by leveraging analytics. Elsevier 2020-10-09 /pmc/articles/PMC7546713/ /pubmed/33073053 http://dx.doi.org/10.1016/j.conctc.2020.100662 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Short Communication Ménard, Timothé Bowling, Rich Mehta, Pooja Koneswarakantha, Björn Magruder, Eileen Leveraging analytics to assure quality during the Covid-19 pandemic - The COVACTA clinical study example |
title | Leveraging analytics to assure quality during the Covid-19 pandemic - The COVACTA clinical study example |
title_full | Leveraging analytics to assure quality during the Covid-19 pandemic - The COVACTA clinical study example |
title_fullStr | Leveraging analytics to assure quality during the Covid-19 pandemic - The COVACTA clinical study example |
title_full_unstemmed | Leveraging analytics to assure quality during the Covid-19 pandemic - The COVACTA clinical study example |
title_short | Leveraging analytics to assure quality during the Covid-19 pandemic - The COVACTA clinical study example |
title_sort | leveraging analytics to assure quality during the covid-19 pandemic - the covacta clinical study example |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546713/ https://www.ncbi.nlm.nih.gov/pubmed/33073053 http://dx.doi.org/10.1016/j.conctc.2020.100662 |
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