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A Novel Blockchain-Based Healthcare System Design and Performance Benchmarking on a Multi-Hosted Testbed
Nihar Ranjan Pradhan1, Akhilendra Pratap Singh1, Sahil Verma2,3
1Department of Computer Science and Engineering, National Institute of Technology Meghalaya, Shillong 793003, India.
This study presents a novel Blockchain-based Electronic Healthcare Record (EHR) system using Hyperledger Fabric. The framework demonstrates superior performance with high throughput and low latency in healthcare Blockchain networks.
Area of Science:
- Computer Science
- Health Informatics
- Blockchain Technology
Background:
- The increasing digitization of healthcare necessitates secure and efficient Electronic Healthcare Record (EHR) systems.
- Blockchain technology offers a decentralized and secure solution for managing sensitive health data.
- Existing Blockchain-based EHR prototypes often overlook critical performance aspects.
Purpose of the Study:
- To develop and evaluate a high-performance Blockchain-based EHR prototype.
- To conduct a realistic performance analysis using a multi-hosted testbed and real-world traffic scenarios.
- To compare the performance of different transaction ordering schemes for Blockchain EHRs.
Main Methods:
- Implementation of a Blockchain-based EHR prototype utilizing Hyperledger Fabric 2.0 and smart contracts.
- Performance evaluation using Hyperledger Caliper 0.4.2 on a multi-hosted testbed.
- Analysis of Gossip-based network traffic using Tcpdump tools.
- Testing with Kafka and RAFT transaction ordering schemes, contrasting with SOLO.
Main Results:
- The proposed Blockchain EHR framework achieved high throughput and low latency.
- The system demonstrated efficient resource utilization for EHR transactions (opening, querying, transferring).
- Performance evaluation in a multi-host environment confirmed the framework's success under realistic conditions.
Conclusions:
- The developed Blockchain-based EHR system offers a robust and performant solution for healthcare data management.
- The use of advanced transaction ordering mechanisms like Kafka and RAFT enhances fault tolerance and efficiency.
- The realistic performance evaluation validates the framework's superiority for secure and efficient healthcare data handling.
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