Blockchain for Secure Data Lifecycle Management in FDA-Regulated Environments

Gnanendra Reddy Muthirevula (), Lalitha Amarapalli () and Arun Ayilliath Keezhadath ()

Journal of AI-Powered Medical Innovations (International online ISSN 3078-1930), 2024, vol. 3, issue 1, 137-152

Abstract: The integration of blockchain technology into FDA-regulated environments presents a transformative solution for addressing critical challenges in secure data lifecycle management. This article explores how blockchain’s inherent properties—immutability, decentralized consensus, and cryptographic auditability—enhance data integrity, traceability, and compliance within pharmaceutical manufacturing and supply chains. Through case studies involving industry leaders like Johnson & Johnson and Pfizer, we demonstrate the efficacy of hybrid blockchain architectures in balancing regulatory requirements (e.g., 21 CFR Part 11, ALCOA+ principles) with operational efficiency, achieving a 40% reduction in audit trail generation time and 100% compliance in mock FDA inspections. The study highlights the role of collaborative frameworks, such as regulatory sandboxes and the FDA’s Emerging Technology Program, in accelerating the validation of blockchain systems while mitigating implementation costs. Furthermore, we propose actionable strategies for global harmonization, including alignment with ISO 8000-2 data quality standards and NIST cybersecurity protocols. Looking ahead, the convergence of blockchain with AI/ML-driven predictive analytics emerges as a pivotal innovation, enabling real-time anomaly detection and autonomous compliance adaptation. This research underscores blockchain’s potential to redefine Pharma 4.0, offering a roadmap for stakeholders to navigate technical, regulatory, and economic barriers while advancing secure, scalable data management ecosystems.

Keywords: Blockchain; FDA-regulated environments; Secure data lifecycle management; Data integrity; Hybrid architectures; Regulatory compliance; Predictive compliance analytics; Pharma 4.0 (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://japmi.org/index.php/japmi/article/view/42/28 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abu:abuabu:v:3:y:2024:i:1:p:137-152:id:42

Access Statistics for this article

More articles in Journal of AI-Powered Medical Innovations (International online ISSN 3078-1930) from Open Knowledge
Bibliographic data for series maintained by By Openjournaltheme ().