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    This study introduces a trackable, anonymous system for sharing electronic medical records (EMRs) using blockchain technology. It enhances data security and privacy for remote healthcare services while improving efficiency.

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    Area of Science:

    • Health Informatics
    • Blockchain Technology
    • Data Security

    Background:

    • Electronic Medical Records (EMRs) are vital for AI/ML in healthcare but face privacy and traceability challenges in traditional sharing models.
    • Decentralized architectures are needed to balance data sharing efficiency with robust privacy protection.

    Purpose of the Study:

    • To propose a trackable anonymous remote healthcare data storing and sharing scheme using decentralized consortium blockchain.
    • To address limitations in fully anonymous sharing schemes regarding malicious user accountability.

    Main Methods:

    • Implementation of an "on-chain & off-chain" model to manage blockchain storage pressure.
    • Introduction of an improved proxy re-encryption mechanism for fine-grained access control.
    • Utilizing a decentralized consortium blockchain for secure data management.

    Main Results:

    • The proposed scheme enables trackable anonymity for EMRs, enhancing security for remote healthcare.
    • The "on-chain & off-chain" approach effectively reduces the storage burden on the blockchain.
    • Improved proxy re-encryption prevents unauthorized data disclosure and collusion.

    Conclusions:

    • The developed scheme offers a secure, efficient, and privacy-preserving solution for sharing EMRs.
    • It improves upon existing methods by providing lower computational overhead for repeated data sharing.
    • This contributes to advancing remote medical services and the healthcare industry through secure data exchange.