Elizabeth Ayeni, Ayomide and Adeniyi, Michael and Emmanuel, Igba and Hendrix Dzakpasu, Noble (2025) Enhancing Blood Supply Chain Management with Blockchain Technology to Improve Diagnostic Precision and Strengthen Health Information Security. International Journal of Innovative Science and Research Technology, 10 (4): 25apr214. pp. 22-40. ISSN 2456-2165
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Abstract
The efficient management of blood supply chains is critical to ensuring timely availability, diagnostic precision, and overall healthcare reliability. However, traditional blood supply chain systems face challenges such as data inaccuracies, lack of transparency, and vulnerabilities in health information security. This review explores the integration of blockchain technology to enhance the efficiency, traceability, and security of blood supply chain management. Blockchain’s decentralized and immutable ledger enables real-time tracking of blood donations, storage conditions, and transfusion records, reducing risks of contamination, fraud, and mismanagement. By leveraging smart contracts and cryptographic security, blockchain enhances interoperability between healthcare providers, regulatory bodies, and blood banks while ensuring compliance with data privacy regulations. Additionally, blockchain-powered solutions improve diagnostic precision by integrating secure, tamper-proof patient records, facilitating seamless data exchange for transfusion compatibility and disease screening. This paper examines case studies, emerging blockchain frameworks, and key adoption challenges to highlight the transformative impact of blockchain in optimizing blood supply chains. The findings suggest that blockchain adoption can significantly enhance supply chain efficiency, improve patient outcomes, and strengthen health information security, paving the way for a more transparent and resilient healthcare ecosystem.
Item Type: | Article |
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Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
Depositing User: | Editor IJISRT Publication |
Date Deposited: | 10 Apr 2025 12:25 |
Last Modified: | 10 Apr 2025 12:25 |
URI: | https://eprint.ijisrt.org/id/eprint/353 |