Cloud and AI-driven innovations in clinical trial data management

Lad, Rishi Nareshbhai (2025) Cloud and AI-driven innovations in clinical trial data management. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 510-521. ISSN 2582-8266

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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.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.15.1.0236
Uncontrolled Keywords: Cloud Integration; Artificial Intelligence; Data Harmonization; Regulatory Compliance; Real-time Monitoring
Depositing User: Editor Engineering Section
Date Deposited: 04 Aug 2025 16:02
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/2713