Cloud and AI-driven innovations in clinical trial data management
Year: 2025
Type: article
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.
Author: Rishi Nareshbhai Lad
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4409373510