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A cross-source, system-agnostic solution for clinical data review

Assembly of complete and error-free clinical trial data sets for statistical analysis and regulatory submission requires extensive effort and communication among investigational sites, central laboratories, pharmaceutical sponsors, contract research organizations and other entities. Traditionally, t...

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Autores principales: Farnum, Michael A, Ashok, Mathangi, Kowalski, Daniel, Du, Fang, Mohanty, Lalit, Konstant, Paul, Ciervo, Joseph, Lobanov, Victor S, Agrafiotis, Dimitris K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378235/
https://www.ncbi.nlm.nih.gov/pubmed/30773591
http://dx.doi.org/10.1093/database/baz017
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author Farnum, Michael A
Ashok, Mathangi
Kowalski, Daniel
Du, Fang
Mohanty, Lalit
Konstant, Paul
Ciervo, Joseph
Lobanov, Victor S
Agrafiotis, Dimitris K
author_facet Farnum, Michael A
Ashok, Mathangi
Kowalski, Daniel
Du, Fang
Mohanty, Lalit
Konstant, Paul
Ciervo, Joseph
Lobanov, Victor S
Agrafiotis, Dimitris K
author_sort Farnum, Michael A
collection PubMed
description Assembly of complete and error-free clinical trial data sets for statistical analysis and regulatory submission requires extensive effort and communication among investigational sites, central laboratories, pharmaceutical sponsors, contract research organizations and other entities. Traditionally, this data is captured, cleaned and reconciled through multiple disjointed systems and processes, which is resource intensive and error prone. Here, we introduce a new system for clinical data review that helps data managers identify missing, erroneous and inconsistent data and manage queries in a unified, system-agnostic and efficient way. Our solution enables timely and integrated access to all study data regardless of source, facilitates the review of validation and discrepancy checks and the management of the resulting queries, tracks the status of page review, verification and locking activities, monitors subject data cleanliness and readiness for database lock and provides extensive configuration options to meet any study’s needs, automation for regular updates and fit-for-purpose user interfaces for global oversight and problem detection.
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spelling pubmed-63782352019-02-21 A cross-source, system-agnostic solution for clinical data review Farnum, Michael A Ashok, Mathangi Kowalski, Daniel Du, Fang Mohanty, Lalit Konstant, Paul Ciervo, Joseph Lobanov, Victor S Agrafiotis, Dimitris K Database (Oxford) Original Article Assembly of complete and error-free clinical trial data sets for statistical analysis and regulatory submission requires extensive effort and communication among investigational sites, central laboratories, pharmaceutical sponsors, contract research organizations and other entities. Traditionally, this data is captured, cleaned and reconciled through multiple disjointed systems and processes, which is resource intensive and error prone. Here, we introduce a new system for clinical data review that helps data managers identify missing, erroneous and inconsistent data and manage queries in a unified, system-agnostic and efficient way. Our solution enables timely and integrated access to all study data regardless of source, facilitates the review of validation and discrepancy checks and the management of the resulting queries, tracks the status of page review, verification and locking activities, monitors subject data cleanliness and readiness for database lock and provides extensive configuration options to meet any study’s needs, automation for regular updates and fit-for-purpose user interfaces for global oversight and problem detection. Oxford University Press 2019-02-18 /pmc/articles/PMC6378235/ /pubmed/30773591 http://dx.doi.org/10.1093/database/baz017 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Farnum, Michael A
Ashok, Mathangi
Kowalski, Daniel
Du, Fang
Mohanty, Lalit
Konstant, Paul
Ciervo, Joseph
Lobanov, Victor S
Agrafiotis, Dimitris K
A cross-source, system-agnostic solution for clinical data review
title A cross-source, system-agnostic solution for clinical data review
title_full A cross-source, system-agnostic solution for clinical data review
title_fullStr A cross-source, system-agnostic solution for clinical data review
title_full_unstemmed A cross-source, system-agnostic solution for clinical data review
title_short A cross-source, system-agnostic solution for clinical data review
title_sort cross-source, system-agnostic solution for clinical data review
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378235/
https://www.ncbi.nlm.nih.gov/pubmed/30773591
http://dx.doi.org/10.1093/database/baz017
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