FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data
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Abstract (arXiv)
Secure and scalable data sharing is essential for collaborative clinical decision making. Conventional clinical data efforts are often siloed, however, which creates barriers to efficient information exchange and impedes effective treatment decision made for patients. This paper provides four contributions to the study of applying blockchain technology to clinical data sharing in the context of technical requirements defined in the "Shared Nationwide Interoperability Roadmap" from the Office of the National Coordinator for Health Information Technology (ONC). First, we analyze the ONC requirements and their implications for blockchain-based systems. Second, we present FHIRChain, which is a blockchain-based architecture designed to meet ONC requirements by encapsulating the HL7 Fast Healthcare Interoperability Resources (FHIR) standard for shared clinical data. Third, we demonstrate a FHIRChain-based decentralized app using digital health identities to authenticate participants in a case study of collaborative decision making for remote cancer care. Fourth, we highlight key lessons learned from our case study.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Jul 2018.
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Citing papers per year: 2024: 3; 2025: 3; 2026: 1.
7 papers.
- 2024Proof of Quality: A Costless Paradigm for Trustless Generative AI Model Inference on Blockchainscited by 7
- 2025Design and Evaluation of Cost-Aware PoQ for Decentralized LLM Inferencecited by 3
- 2024Decentralized Intelligence Network (DIN)cited by 2
- 2025Byzantine Fault-Tolerant Multi-Agent System for Healthcare: A Gossip Protocol Approach to Secure Medical Message Propagationcited by 2
- 2024Decentralized Health Intelligence Network (DHIN)cited by 0
- 2025Decentralized AI-driven IoT Architecture for Privacy-Preserving and Latency-Optimized Healthcare in Pandemic and Critical Care Scenarioscited by 0
- 2026A Proposed Biomedical Data Policy Framework to Reduce Fragmentation, Improve Quality, and Incentivize Sharing in Indian Healthcare in the era of Artificial Intelligence and Digital Healthcited by 0
- 2026A Proposed Biomedical Data Policy Framework to Reduce Fragmentation, Improve Quality, and Incentivize Sharing in Indian Healthcare in the era of Artificial Intelligence and Digital Health13 Apr 2026
- 2025Design and Evaluation of Cost-Aware PoQ for Decentralized LLM Inference18 Dec 2025
- 2025Byzantine Fault-Tolerant Multi-Agent System for Healthcare: A Gossip Protocol Approach to Secure Medical Message Propagation27 Nov 2025
- 2025Decentralized AI-driven IoT Architecture for Privacy-Preserving and Latency-Optimized Healthcare in Pandemic and Critical Care Scenarios29 Apr 2025
- 2024Decentralized Health Intelligence Network (DHIN)12 Aug 2024
- 2024Decentralized Intelligence Network (DIN)2 Jul 2024
- 2024Proof of Quality: A Costless Paradigm for Trustless Generative AI Model Inference on Blockchains28 May 2024