Accelerating Healthcare Data Access: A Blockchain and Decentralized Indexing Approach

ABSTRACT This paper proposes a novel decentralized healthcare data management framework that distinctly integrates blockchain, IPFS, and The Graph protocol to address long‐standing challenges related to secure data storage, efficient retrieval, scalability, and patient‐centric control in medical systems. Although the combination of blockchain and IPFS has become relatively standard for decentralized storage and security, our work introduces a key innovation by incorporating The Graph protocol to enable real‐time, decentralized indexing and querying of medical records—a capability that is critically lacking in many current approaches. By linking encrypted healthcare data stored in IPFS with blockchain‐based smart contracts via cryptographic hashes, the system ensures tamper‐proof integrity, privacy preservation, and access traceability. What sets our architecture apart is the use of subgraph‐based GraphQL APIs through The Graph, which allows seamless and structured data discovery without compromising decentralization. Performance evaluations demonstrate significant improvements, including reduced latency, higher query speed, and enhanced throughput when compared to conventional blockchain–IPFS architectures. Additionally, the framework empowers patients with data ownership and fine‐grained access control while promoting interoperability across decentralized applications. This integrated approach meaningfully advances the state of the art by bridging decentralized storage with intelligent data querying, paving the way for the next generation of secure, responsive, and scalable digital healthcare ecosystems.

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Publication Details

Journal
Concurrency and Computation Practice and Experience
Published
2025-06-24
DOI
https://doi.org/10.1002/cpe.70172
Citations
3
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
9.74
Controls
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article

Accelerating Healthcare Data Access: A Blockchain and Decentralized Indexing Approach

Kajal Tiwari, Sanjay Kumar
3 citations
Concurrency and Computation Practice and Experience
Blockchain Technology Applications and Security
9.74
article

Accelerating Healthcare Data Access: A Blockchain and Decentralized Indexing Approach

Kajal Tiwari, Sanjay Kumar
article en
3 citations

Abstract

ABSTRACT This paper proposes a novel decentralized healthcare data management framework that distinctly integrates blockchain, IPFS, and The Graph protocol to address long‐standing challenges related to secure data storage, efficient retrieval, scalability, and patient‐centric control in medical systems. Although the combination of blockchain and IPFS has become relatively standard for decentralized storage and security, our work introduces a key innovation by incorporating The Graph protocol to enable real‐time, decentralized indexing and querying of medical records—a capability that is critically lacking in many current approaches. By linking encrypted healthcare data stored in IPFS with blockchain‐based smart contracts via cryptographic hashes, the system ensures tamper‐proof integrity, privacy preservation, and access traceability. What sets our architecture apart is the use of subgraph‐based GraphQL APIs through The Graph, which allows seamless and structured data discovery without compromising decentralization. Performance evaluations demonstrate significant improvements, including reduced latency, higher query speed, and enhanced throughput when compared to conventional blockchain–IPFS architectures. Additionally, the framework empowers patients with data ownership and fine‐grained access control while promoting interoperability across decentralized applications. This integrated approach meaningfully advances the state of the art by bridging decentralized storage with intelligent data querying, paving the way for the next generation of secure, responsive, and scalable digital healthcare ecosystems.

Concurrency and Computation Practice and ExperienceVol. 37(15-17)
National Institute of Technology Raipur (IN)
Openalex Percentile: Top 2%
Blockchain Technology Applications and Security
9.74
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Accelerating Healthcare Data Access: A Blockchain and Decentralized Indexing Approach — Kajal Tiwari, Sanjay Kumar · Concurrency and Computation Practice and Experience (2025) | TGRS Research Map | TGRS