The rapid digitization of healthcare systems has created unprecedented volumes of sensitive medical data, highlighting the need for secure, scalable, and efficient data management solutions. Traditional centralized healthcare infrastructures are vulnerable to cyberattacks, latency, and compliance challenges, limiting their effectiveness. This research paper proposes a decentralized edge-assisted blockchain framework that integrates IoTenabled medical devices, edge computing, and blockchain technology to address these limitations. The framework ensures real-time data processing at the edge, immutability and transparency via blockchain, and role-based access control for regulatory compliance. Performance evaluation demonstrates significant improvements in data security, latency, scalability, and auditability compared to conventional centralized systems. The proposed architecture provides a practical solution for hospitals, clinics, and remote telemedicine applications, while also offering the flexibility to incorporate AI-driven analytics and federated learning in future expansions. This research lays the foundation for next-generation healthcare data ecosystems that are secure, efficient, and privacy-preserving.

The study proposes a decentralized edge-assisted blockchain framework for secure healthcare data management, addressing latency, data breaches, scalability, and compliance challenges.

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