Enhanced Blockchain Framework for Secure and Scalable Personal Health Record Management in Telemedicine
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How to Cite

A.S., Malini, Ayesha S., and Karpagavalli K. 2026. “Enhanced Blockchain Framework for Secure and Scalable Personal Health Record Management in Telemedicine”. Journal of Information Technology and Digital World 8 (1): 45-58. https://doi.org/10.36548/jitdw.2026.1.004.

Keywords

— Hyperledger Fabric
— Ganache
— Ethereum
— Proof of Authority (PoA)
— Blockchain Technology
— Telemedicine
— Personal Health Records (PHR)
— Decentralized Storage
— Smart Contracts
Published: 24-03-2026

Abstract

The key features of blockchain technology, such as transparency, security, and trust in sharing data, have attracted much attention in terms of utilizing this technology in the healthcare industry. Telemedicine’s Personal Health Records have major challenges in terms of privacy, ownership of information, data integrity, and safe sharing. To solve these challenges, a solution based on a blockchain architecture, such as a permissioned blockchain system based on Hyperledger Fabric and Byzantine Fault Tolerance (BFT), is recommended as a model for safe management of Personal Health Records. However, a permissioned blockchain system has limitations in terms of scalability and latency. A hybrid solution based on Ethereum, which uses Ganache as a tool to implement a solution based on a Proof of Authority algorithm, which works as a private blockchain, is recommended. IPFS and Filecoin are two examples of decentralized storage technologies, which can be very helpful in storing information, particularly in healthcare, which tends to be too large to store in one place. IPFS provides access to manage files in a decentralized manner, and Filecoin offers a reward system for storing information, thus making it more accessible. There is also the use of Layer 2 scaling solutions such as Polygon to improve transaction speed and reduce end-to-end latency. To test the performance of the proposed system, a simulated scenario is created to demonstrate the improvements in end-to-end latency, throughput, and utilization compared to the existing Hyperledger Fabric environment. From the simulation, it is clear that the proposed system is a safe, scalable, and efficient solution for managing PHRs in telemedicine.

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