|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 187 - Issue 137 |
| Published: August 2026 |
| Authors: Ali M.A. Abuagoub |
10.5120/ijcaf4609d7e90e6
|
Ali M.A. Abuagoub . Secure Remote Healthcare Systems using Blockchain: Privacy Challenges and a Hyperledger Fabric–based Implementation. International Journal of Computer Applications. 187, 137 (August 2026), 23-39. DOI=10.5120/ijcaf4609d7e90e6
@article{ 10.5120/ijcaf4609d7e90e6,
author = { Ali M.A. Abuagoub },
title = { Secure Remote Healthcare Systems using Blockchain: Privacy Challenges and a Hyperledger Fabric–based Implementation },
journal = { International Journal of Computer Applications },
year = { 2026 },
volume = { 187 },
number = { 137 },
pages = { 23-39 },
doi = { 10.5120/ijcaf4609d7e90e6 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2026
%A Ali M.A. Abuagoub
%T Secure Remote Healthcare Systems using Blockchain: Privacy Challenges and a Hyperledger Fabric–based Implementation%T
%J International Journal of Computer Applications
%V 187
%N 137
%P 23-39
%R 10.5120/ijcaf4609d7e90e6
%I Foundation of Computer Science (FCS), NY, USA
Remote healthcare systems have become integral to modern medical delivery, yet they continue to face persistent challenges related to privacy, security, interoperability, and trust. Centralized architectures expose sensitive clinical data to unauthorized access, manipulation, and single points of failure, underscoring the need for more resilient solutions. Blockchain technology provides a decentralized, tamper resistant, and auditable foundation capable of mitigating these risks. This paper examines the core privacy challenges inherent in remote healthcare environments and presents a practical blockchain based system implemented using Hyperledger Fabric, a permissioned enterprise grade distributed ledger framework. The study synthesizes insights from contemporary blockchain applications—including electronic health records, pharmaceutical supply chains, clinical trials, and IoT enabled monitoring—and integrates them into a working prototype featuring Go based chaincode, a Node.js/Express backend, and a ReactJS frontend deployed within a Dockerized Fabric network. Functional and minimal load testing demonstrate enhanced data integrity, transparent auditability, and secure remote access. The paper concludes with recommendations for future enhancements, including large scale performance benchmarking, interoperability with hospital information systems, and cloud based distributed deployment. The work contributes both conceptual and practical foundations for advancing secure, decentralized remote healthcare systems.