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IntelliMedChain: Knowledge Driven and Blockchain Powered Data Sharing Framework for Smart Healthcare
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  • Meghana Kshirsagar,
  • Gauri Vaidya Vaidya,
  • Yao Yao,
  • Smita Kasar,
  • Ryan Conor
Meghana Kshirsagar
University of Limerick

Corresponding Author:[email protected]

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Gauri Vaidya Vaidya
University of Limerick
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Yao Yao
University of Limerick
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Smita Kasar
Marathwada Institute of Technology
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Ryan Conor
University of Limerick
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Abstract

The healthcare profile of an individual is scattered across multiple data sources which can be difficult to access in a timely fashion. Furthermore, while the need to secure an individual’s personal health record is of paramount importance to prevent compromises such as cyber-attacks, it is important to be able to be able to seamlessly and quickly share information across healthcare providers to further enable precision and personalized health care. We present IntelliMedChain, a blockchain-powered knowledge-driven data sharing framework that gives patients complete control of their medical data and which can extract rich information hidden in the medical records using knowledge graphs (KGs). By incorporating both blockchain and KGs, we can provide a platform for a secure data sharing amongst stakeholders by maintaining data privacy and integrity through data authentication and robust data integration. We conduct a pilot study of the IntelliMedChain network using Ethereum blockchain technology to share knowledge across stakeholders. We show how it mitigates the issues around scalability by efficiently managing large-scale data and interoperability through seamless adoption of data regulations, as prescribed by various regulatory bodies for efficient governance.
04 May 2022Submitted to Engineering Reports
11 May 2022Submission Checks Completed
11 May 2022Assigned to Editor
14 May 2022Reviewer(s) Assigned
04 Jul 2022Editorial Decision: Revise Major
01 Sep 20221st Revision Received
02 Sep 2022Submission Checks Completed
02 Sep 2022Assigned to Editor
02 Sep 2022Reviewer(s) Assigned
25 Sep 2022Editorial Decision: Accept
18 Nov 2022Published in Engineering Reports. 10.1002/eng2.12586