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Published on: April 12, 2021
Decentralised provenance for healthcare data
Andrea Margheri1, Massimiliano Masi2, Abdallah Miladi2
1University of Southampton, University Road, Southampton SO17 1BJ, UK.
This study introduces a blockchain platform for secure Electronic Healthcare Record (EHR) provenance tracking. The system ensures data integrity and patient consent while minimizing processing time for improved healthcare data management.
Area of Science:
- Health Informatics
- Blockchain Technology
- Data Management
Background:
- Electronic Healthcare Records (EHRs) are fragmented across facilities, creating data silos and safety risks.
- Existing systems lack clinical context presentation, hindering effective data utilization.
- Need for secure, interoperable, and patient-centric EHR management solutions.
Purpose of the Study:
- To design and implement a blockchain-based platform for EHR provenance tracking.
- To ensure compliance with healthcare standards and patient-informed consent.
- To address challenges in EHR interoperability and clinical context.
Main Methods:
- Leveraged international standards: Integrating the Healthcare Enterprise (IHE), Health Level Seven International (HL7), and Fast Healthcare Interoperability Resources (FHIR).
- Developed a blockchain platform using Hyperledger Fabric with a smart contract for W3C PROV management.
- Integrated a Java Proxy for intercepting document submissions/retrievals and a service for PROV document retrieval.
Main Results:
- Successfully integrated the decentralized platform with the SpiritEHR engine and a CDA repository.
- Observed minimal processing time overhead (milliseconds) for data reading/writing using a cloud-based blockchain.
- Demonstrated transparent usage of provenance data for decision-making, data reconciliation, and consent auditing.
Conclusions:
- A blockchain-based solution effectively manages EHR provenance, enhancing data integrity and security.
- The platform integrates seamlessly into routine healthcare operations using international standards.
- This approach facilitates transparent data management, respecting patient consent preferences.
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