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...
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doaj-a2ec4840d7494661813c80b935c43d332020-12-23T05:03:27ZengElsevierContemporary Clinical Trials Communications2451-86542020-12-0120100662Leveraging analytics to assure quality during the Covid-19 pandemic - The COVACTA clinical study exampleTimothé Ménard0Rich Bowling1Pooja Mehta2Björn Koneswarakantha3Eileen Magruder4F.Hoffmann-La Roche AG, Basel, Switzerland; Corresponding author. F. Hoffmann-La Roche, CH-4070 Basel, Switzerland.Genentech Inc, A Member of the Roche Group, South San Francisco, USAGenentech Inc, A Member of the Roche Group, South San Francisco, USAF.Hoffmann-La Roche AG, Basel, SwitzerlandGenentech Inc, A Member of the Roche Group, South San Francisco, USAThe 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.http://www.sciencedirect.com/science/article/pii/S2451865420301460Quality AssuranceClinical TrialsAnalyticsAuditClinical Data Monitoring |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Timothé Ménard Rich Bowling Pooja Mehta Björn Koneswarakantha Eileen Magruder |
spellingShingle |
Timothé Ménard Rich Bowling Pooja Mehta Björn Koneswarakantha Eileen Magruder Leveraging analytics to assure quality during the Covid-19 pandemic - The COVACTA clinical study example Contemporary Clinical Trials Communications Quality Assurance Clinical Trials Analytics Audit Clinical Data Monitoring |
author_facet |
Timothé Ménard Rich Bowling Pooja Mehta Björn Koneswarakantha Eileen Magruder |
author_sort |
Timothé Ménard |
title |
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_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_sort |
leveraging analytics to assure quality during the covid-19 pandemic - the covacta clinical study example |
publisher |
Elsevier |
series |
Contemporary Clinical Trials Communications |
issn |
2451-8654 |
publishDate |
2020-12-01 |
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. |
topic |
Quality Assurance Clinical Trials Analytics Audit Clinical Data Monitoring |
url |
http://www.sciencedirect.com/science/article/pii/S2451865420301460 |
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