Cloud and AI-driven innovations in clinical trial data management

Cloud-based platforms and artificial intelligence are transforming clinical trial data management, addressing critical challenges in an era of increasingly complex data requirements. Modern clinical trials generate vast volumes of information from diverse sources, including electronic health records, wearable devices, and laboratory systems, creating substantial management burdens while maintaining regulatory compliance. Traditional approaches suffer from siloed operations, manual processes, and scaling limitations that impact efficiency and data integrity. This article explores how cloud integration platforms provide secure, scalable infrastructure with enhanced security features, global accessibility, and regulatory-aligned validation capabilities. AI-driven analytics further revolutionize these processes through intelligent patient recruitment, enhanced quality management, and predictive optimization. By examining implementations across various therapeutic areas, including Moderna's COVID-19 vaccine development, we demonstrate how these technologies enable more efficient, cost-effective trials while maintaining compliance with stringent regulations like CFR 21 Part 11 and GxP standards.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-04-11
DOI
https://doi.org/10.30574/wjaets.2025.15.1.0236
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
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article

Cloud and AI-driven innovations in clinical trial data management

Rishi Nareshbhai Lad
World Journal of Advanced Engineering Technology and Sciences
Artificial Intelligence in Healthcare
article

Cloud and AI-driven innovations in clinical trial data management

Rishi Nareshbhai Lad
article en

Abstract

Cloud-based platforms and artificial intelligence are transforming clinical trial data management, addressing critical challenges in an era of increasingly complex data requirements. Modern clinical trials generate vast volumes of information from diverse sources, including electronic health records, wearable devices, and laboratory systems, creating substantial management burdens while maintaining regulatory compliance. Traditional approaches suffer from siloed operations, manual processes, and scaling limitations that impact efficiency and data integrity. This article explores how cloud integration platforms provide secure, scalable infrastructure with enhanced security features, global accessibility, and regulatory-aligned validation capabilities. AI-driven analytics further revolutionize these processes through intelligent patient recruitment, enhanced quality management, and predictive optimization. By examining implementations across various therapeutic areas, including Moderna's COVID-19 vaccine development, we demonstrate how these technologies enable more efficient, cost-effective trials while maintaining compliance with stringent regulations like CFR 21 Part 11 and GxP standards.

World Journal of Advanced Engineering Technology and SciencesVol. 15(1)
Openalex Percentile: Top 92%
Artificial Intelligence in Healthcare
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Cloud and AI-driven innovations in clinical trial data management — Rishi Nareshbhai Lad · World Journal of Advanced Engineering Technology and Sciences (2025) | TGRS Research Map | TGRS