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ATRI EDC: a novel cloud-native remote data capture system for large multicenter Alzheimer’s disease and Alzheimer’s disease-related dementias clinical trails
OBJECTIVE: The Alzheimer’s Therapeutic Research Institute (ATRI) developed a novel clinical data management system, the ATRI electronic data capture system (ATRI EDC), to address the complex regulatory, operational, and data requirements that arise in the conduct of multicenter Alzheimer’s disease a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826990/ https://www.ncbi.nlm.nih.gov/pubmed/35156002 http://dx.doi.org/10.1093/jamiaopen/ooab119 |
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author | Jimenez-Maggiora, Gustavo A Bruschi, Stefania Qiu, Hongmei So, Jia-Shing Aisen, Paul S |
author_facet | Jimenez-Maggiora, Gustavo A Bruschi, Stefania Qiu, Hongmei So, Jia-Shing Aisen, Paul S |
author_sort | Jimenez-Maggiora, Gustavo A |
collection | PubMed |
description | OBJECTIVE: The Alzheimer’s Therapeutic Research Institute (ATRI) developed a novel clinical data management system, the ATRI electronic data capture system (ATRI EDC), to address the complex regulatory, operational, and data requirements that arise in the conduct of multicenter Alzheimer’s disease and Alzheimer’s disease-related dementias (AD/ADRDs) clinical trials. We describe the system, its utility, and the broader implications for the field of clinical trials and clinical research informatics. MATERIALS AND METHODS: The ATRI EDC system was developed, tested, and validated using community-based agile software development methods and cloud-native single-page application design principles. It offers an increasing number of application modules, supports a high degree of study-specific configuration, and empowers study teams to effectively communicate and collaborate on the accurate and timely completion of study activities. RESULTS: To date, the ATRI EDC system supports 10 clinical studies, collecting study data for 4596 participants. Three case descriptions further illustrate how the system’s capabilities support diverse study-specific requirements. DISCUSSION: The ATRI EDC system has several advantages: its modular capabilities can accommodate rapidly evolving research designs and technologies; its community-based agile development approach and community-friendly licensing model encourage collaboration per the principles of open science; finally, with continued development and community building efforts, the system has the potential to facilitate the effective conduct of clinical studies beyond the field of AD/ADRD. CONCLUSION: By effectively addressing the requirements of multicenter AD/ADRD studies, the ATRI EDC system supports ATRI’s scientific mission of rigorously testing new AD/ADRD therapies and facilitating the effective conduct of multicenter clinical studies. |
format | Online Article Text |
id | pubmed-8826990 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-88269902022-02-10 ATRI EDC: a novel cloud-native remote data capture system for large multicenter Alzheimer’s disease and Alzheimer’s disease-related dementias clinical trails Jimenez-Maggiora, Gustavo A Bruschi, Stefania Qiu, Hongmei So, Jia-Shing Aisen, Paul S JAMIA Open Research and Applications OBJECTIVE: The Alzheimer’s Therapeutic Research Institute (ATRI) developed a novel clinical data management system, the ATRI electronic data capture system (ATRI EDC), to address the complex regulatory, operational, and data requirements that arise in the conduct of multicenter Alzheimer’s disease and Alzheimer’s disease-related dementias (AD/ADRDs) clinical trials. We describe the system, its utility, and the broader implications for the field of clinical trials and clinical research informatics. MATERIALS AND METHODS: The ATRI EDC system was developed, tested, and validated using community-based agile software development methods and cloud-native single-page application design principles. It offers an increasing number of application modules, supports a high degree of study-specific configuration, and empowers study teams to effectively communicate and collaborate on the accurate and timely completion of study activities. RESULTS: To date, the ATRI EDC system supports 10 clinical studies, collecting study data for 4596 participants. Three case descriptions further illustrate how the system’s capabilities support diverse study-specific requirements. DISCUSSION: The ATRI EDC system has several advantages: its modular capabilities can accommodate rapidly evolving research designs and technologies; its community-based agile development approach and community-friendly licensing model encourage collaboration per the principles of open science; finally, with continued development and community building efforts, the system has the potential to facilitate the effective conduct of clinical studies beyond the field of AD/ADRD. CONCLUSION: By effectively addressing the requirements of multicenter AD/ADRD studies, the ATRI EDC system supports ATRI’s scientific mission of rigorously testing new AD/ADRD therapies and facilitating the effective conduct of multicenter clinical studies. Oxford University Press 2022-01-17 /pmc/articles/PMC8826990/ /pubmed/35156002 http://dx.doi.org/10.1093/jamiaopen/ooab119 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research and Applications Jimenez-Maggiora, Gustavo A Bruschi, Stefania Qiu, Hongmei So, Jia-Shing Aisen, Paul S ATRI EDC: a novel cloud-native remote data capture system for large multicenter Alzheimer’s disease and Alzheimer’s disease-related dementias clinical trails |
title | ATRI EDC: a novel cloud-native remote data capture system for large
multicenter Alzheimer’s disease and Alzheimer’s disease-related
dementias clinical trails |
title_full | ATRI EDC: a novel cloud-native remote data capture system for large
multicenter Alzheimer’s disease and Alzheimer’s disease-related
dementias clinical trails |
title_fullStr | ATRI EDC: a novel cloud-native remote data capture system for large
multicenter Alzheimer’s disease and Alzheimer’s disease-related
dementias clinical trails |
title_full_unstemmed | ATRI EDC: a novel cloud-native remote data capture system for large
multicenter Alzheimer’s disease and Alzheimer’s disease-related
dementias clinical trails |
title_short | ATRI EDC: a novel cloud-native remote data capture system for large
multicenter Alzheimer’s disease and Alzheimer’s disease-related
dementias clinical trails |
title_sort | atri edc: a novel cloud-native remote data capture system for large
multicenter alzheimer’s disease and alzheimer’s disease-related
dementias clinical trails |
topic | Research and Applications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826990/ https://www.ncbi.nlm.nih.gov/pubmed/35156002 http://dx.doi.org/10.1093/jamiaopen/ooab119 |
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