Distributed Ledger Based Optimal Solution Architecture for A Secure Blood Screening System

Abstract

Managing blood screening data is critical for healthcare, requiring secure and transparent systems to safeguard public health. Existing methods often lack secure access to donors' medical histories, posing risks. Hyperledger Fabric, a distributed ledger technology, offers a robust solution for managing health data securely. This paper proposes a decentralized blood screening system using Hyperledger Fabric to record transactions, donor, and recipient data, employing chaincode for eligibility checks. Its modular architecture ensures privacy, integrity, and immutability. The study explores how Hyperledger Fabric's architecture meets blood screening requirements, focusing on optimizing latency, throughput, and block space utilization through customized configurations. Experiments with Hyperledger Fabric v2.5 assessed performance by adjusting endorsement strategies and block sizes. The results, analyzed for performance differences, provide recommendations for tuning configuration factors like batch timeout and maximum message count. The Hyperledger Caliper tool was used to measure transaction throughput and latency, leading to optimized blockchain architecture for blood screening. Findings indicate that customized blockchain configurations can significantly enhance performance metrics crucial for real-time healthcare applications.