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Rapid implementation of a modular clinical trial informatics solution for COVID-19 research

Veterans Health Administration (VHA) services are most frequently used by patients 65 years and older, an age group that is disproportionally affected by COVID-19. Here we describe a modular Clinical Trial Informatics Solution (CTIS) that was rapidly developed and deployed to support a multi-hospita...

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Autores principales: Dhond, Rupali, Acher, Ryan, Leatherman, Sarah, Page, Sarah, Sanford, Randolph, Elbers, Danne, Meng, Frank, Ferguson, Ryan, Brophy, Mary T., Do, Nhan V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588694/
https://www.ncbi.nlm.nih.gov/pubmed/34786452
http://dx.doi.org/10.1016/j.imu.2021.100788
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author Dhond, Rupali
Acher, Ryan
Leatherman, Sarah
Page, Sarah
Sanford, Randolph
Elbers, Danne
Meng, Frank
Ferguson, Ryan
Brophy, Mary T.
Do, Nhan V.
author_facet Dhond, Rupali
Acher, Ryan
Leatherman, Sarah
Page, Sarah
Sanford, Randolph
Elbers, Danne
Meng, Frank
Ferguson, Ryan
Brophy, Mary T.
Do, Nhan V.
author_sort Dhond, Rupali
collection PubMed
description Veterans Health Administration (VHA) services are most frequently used by patients 65 years and older, an age group that is disproportionally affected by COVID-19. Here we describe a modular Clinical Trial Informatics Solution (CTIS) that was rapidly developed and deployed to support a multi-hospital embedded pragmatic clinical trial in COVID-19 patients within the VHA. Our CTIS includes tools for patient eligibility screening, informed consent tracking, treatment randomization, EHR data transformation for reporting and interfaces for patient outcome and adverse event tracking. We hope our CTIS component descriptions and practical lessons learned will serve as a useful building block for others creating their own clinical trial tools and have made application and database code publicly available.
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spelling pubmed-85886942021-11-12 Rapid implementation of a modular clinical trial informatics solution for COVID-19 research Dhond, Rupali Acher, Ryan Leatherman, Sarah Page, Sarah Sanford, Randolph Elbers, Danne Meng, Frank Ferguson, Ryan Brophy, Mary T. Do, Nhan V. Inform Med Unlocked Article Veterans Health Administration (VHA) services are most frequently used by patients 65 years and older, an age group that is disproportionally affected by COVID-19. Here we describe a modular Clinical Trial Informatics Solution (CTIS) that was rapidly developed and deployed to support a multi-hospital embedded pragmatic clinical trial in COVID-19 patients within the VHA. Our CTIS includes tools for patient eligibility screening, informed consent tracking, treatment randomization, EHR data transformation for reporting and interfaces for patient outcome and adverse event tracking. We hope our CTIS component descriptions and practical lessons learned will serve as a useful building block for others creating their own clinical trial tools and have made application and database code publicly available. Published by Elsevier Ltd. 2021 2021-11-12 /pmc/articles/PMC8588694/ /pubmed/34786452 http://dx.doi.org/10.1016/j.imu.2021.100788 Text en © 2021 Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Dhond, Rupali
Acher, Ryan
Leatherman, Sarah
Page, Sarah
Sanford, Randolph
Elbers, Danne
Meng, Frank
Ferguson, Ryan
Brophy, Mary T.
Do, Nhan V.
Rapid implementation of a modular clinical trial informatics solution for COVID-19 research
title Rapid implementation of a modular clinical trial informatics solution for COVID-19 research
title_full Rapid implementation of a modular clinical trial informatics solution for COVID-19 research
title_fullStr Rapid implementation of a modular clinical trial informatics solution for COVID-19 research
title_full_unstemmed Rapid implementation of a modular clinical trial informatics solution for COVID-19 research
title_short Rapid implementation of a modular clinical trial informatics solution for COVID-19 research
title_sort rapid implementation of a modular clinical trial informatics solution for covid-19 research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588694/
https://www.ncbi.nlm.nih.gov/pubmed/34786452
http://dx.doi.org/10.1016/j.imu.2021.100788
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