EdgeMediChain: A Hybrid Edge Blockchain-Based Framework for Health Data Exchange
Open accessAbstract
Recently, researchers around the world in medical institutions and pharmaceutical companies are demanding a wider access to healthcare data for secondary use in order to provide enhanced and personalized medical services. For this purpose, healthcare information exchange between health authorities can be leveraged as a fundamental concept to meet these demands and enable the discovery of new insights and cures. However, health data are highly sensitive and private information that requires strong authentication and authorization procedures to manage the access to them. In this regard, the cloud paradigm has been used in these e-healthcare solutions, but they remain inefficient due to their inability to adapt to the expanding volume of data generated from body sensors and their vulnerability against cyberattacks. Hence, collaborative and distributed data governance supported by edge computing and blockchain promises enormous potentials in improving the performance and security of the whole system. In this paper, we present a secure and efficient data management framework, named ”EdgeMediChain”, for sharing health data. The proposed architecture leverages both edge computing and blockchain to facilitate and provide the necessary requirements for a healthcare ecosystem in terms of scalability, security, as well as privacy. The Ethereum-based testbed evaluations show the effectiveness of EdgeMediChain in terms of execution time with a reduction of nearly 84.75% for 2000 concurrent transactions, higher throughput compared to a traditional blockchain, and scalable ledger storage with a linear growth rate.
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Akkaoui et al.'s hybrid Edge blockchain-based eHealth architecture using an extra global blockchain can increase the latency of processing blocks.
“used an extra global blockchain that can increase the latency of processing blocks.”
From A survey on the adoption of blockchain in IoT: challenges and solutions (2021) · cites this paper as [84]
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- Authors
- Akkaoui, R., Hei, X., & Cheng, W.
- Affiliations
- Huazhong University of Science and Technology (CN)
- Venue
- IEEE Access
- Published
- 2020
- Volume
- 8
- Pages
- 113467-113486
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3036172617
- Cited by
- 175
- References
- 42
- Citations by year
- 2026: 21 · 2025: 28 · 2024: 43 · 2023: 34 · 2022: 29 · 2021: 19 · 2020: 1
- FWCI
- 19.52
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (61972172)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- health information exchange, edge computing, blockchain, Ethereum, healthcare data privacy, access control, e-health, scalability, transaction throughput
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