Personal Health Data Integration and Intelligence through Semantic Web and Blockchain Technologies
Oshani Seneviratne, Manan Shukla, Jianjing Lin

TL;DR
This paper proposes a scalable system combining semantic web and blockchain technologies to facilitate secure, standardized, and decentralized integration of personal health data from various devices for improved healthcare insights.
Contribution
It introduces a novel framework that leverages FHIR standards, semantic web, and blockchain to address data integration and security challenges in personal health data ecosystems.
Findings
Provides a FHIR-compliant semantic web data template
Implements smart contracts for secure data sharing
Enables real-time insights from personal health devices
Abstract
Data integration among various stakeholders in the healthcare space remains a challenge, despite the impressive advances in Health AI in the past decade. There is a lot of ``messy'' non-standard but structured data that are continually being collected from personal health devices. While efforts such as the Fast Healthcare Interoperability of Resources (FHIR) are underway in standardizing the data representation formats, there is currently a gap in the standard in addressing the health data ecosystem's decentralized nature. As we see explosive growth in chronic diseases such as diabetes, healthcare providers need Observations of Daily Living (ODL) of their patients to treat them effectively. The best way to obtain ODL is through personal health devices. However, such devices are manufactured by various device makers, and they may not follow standards or integrate with existing Electronic…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Electronic Health Records Systems · Big Data and Digital Economy
