A Blockchain-based Data Governance with Privacy and Provenance: a case study for e-Prescription

Garcia, Rodrigo Dutra, , , & Ueyama, Jo (2022) A Blockchain-based Data Governance with Privacy and Provenance: a case study for e-Prescription. In Proceedings of the 2022 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). Institute of Electrical and Electronics Engineers Inc., United States of America.

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Description

Real-world applications in healthcare and supply chain domains produce, exchange, and share data in a multi-stakeholder environment. Data owners want to control their data and privacy in such settings. On the other hand, data consumers demand methods to understand when, how, and who produced the data. These requirements necessitate data governance frameworks that guarantee data provenance, privacy protection, and consent management. We introduce a decentralized data governance framework based on blockchain technology and proxy re-encryption to let data owners control and track their data through privacy-enhancing and consent management mechanisms. Besides, our framework allows the data consumers to understand data lineage through a blockchain-based provenance mechanism. We have used Digital e-prescription as the use case since it has multiple stakeholders and sensitive data while enabling the medical fraternity to manage patients' prescription data, involving patients as data owners, doctors, and pharmacists as data consumers. Our proof-of-concept implementation and evaluation results based on CosmWasm and pyUmbral PRE show that the proposed decentralized system guarantees transparency, privacy, and trust with minimal overhead.

Impact and interest:

7 citations in Scopus
3 citations in Web of Science®
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ID Code: 228430
Item Type: Chapter in Book, Report or Conference volume (Conference contribution)
Series Name: IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2022
ORCID iD:
Ramachandran, Gowriorcid.org/0000-0001-5944-1335
Jurdak, Rajaorcid.org/0000-0001-7517-0782
Measurements or Duration: 5 pages
Additional URLs:
DOI: 10.1109/ICBC54727.2022.9805545
ISBN: 978-1-6654-9539-4
Pure ID: 105988336
Divisions: Current > Research Centres > Centre for Clean Energy Technologies & Practices
Current > QUT Faculties and Divisions > Faculty of Science
Current > Schools > School of Computer Science
Copyright Owner: 2022 IEEE
Copyright Statement: Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Deposited On: 23 Mar 2022 00:59
Last Modified: 30 Jul 2024 00:40