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<p>With the rise in health record data breaches, ensuring the security, efficiency, and accessibility of Electronic Health Record (EHR) systems is crucial. This paper proposes a blockchain-based EHR management system with a two-phase security mechanism. First, records are encrypted using Present-80, a lightweight encryption technique, and stored in a cloud network. Second, blockchain technology secures reference links to encrypted records, utilizing a Proof of Authority (PoA) consensus to restrict access to trusted nodes. For efficient retrieval, the system maintains linked records using reference links and previous block hashes, ensuring traceability and integrity. Smart contracts facilitate decentralized, tamper-proof data management. The proposed model is tested and evaluated against multiple performance metrics, demonstrating enhanced security, scalability, and retrieval efficiency. Results indicate its practical viability in real-world healthcare applications, offering a robust, secure, and interoperable solution for EHR management while maintaining data privacy and accessibility.</p>

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A Linked-List based Blockchain for Efficient Electronic Health Record Management

  • 期刊论文

  • 发表日期：

    2026年5月18日

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  • Shamama Anwar,
  • Prashant Pranav,
  • Adla Sanober,
  • Sonu Kumar Deo,
  • Mahak Shah

摘要

With the rise in health record data breaches, ensuring the security, efficiency, and accessibility of Electronic Health Record (EHR) systems is crucial. This paper proposes a blockchain-based EHR management system with a two-phase security mechanism. First, records are encrypted using Present-80, a lightweight encryption technique, and stored in a cloud network. Second, blockchain technology secures reference links to encrypted records, utilizing a Proof of Authority (PoA) consensus to restrict access to trusted nodes. For efficient retrieval, the system maintains linked records using reference links and previous block hashes, ensuring traceability and integrity. Smart contracts facilitate decentralized, tamper-proof data management. The proposed model is tested and evaluated against multiple performance metrics, demonstrating enhanced security, scalability, and retrieval efficiency. Results indicate its practical viability in real-world healthcare applications, offering a robust, secure, and interoperable solution for EHR management while maintaining data privacy and accessibility.