Enhancing confidentiality and access control in electronic health record systems using a hybrid hashing blockchain framework

Confidentiality and access control are essential to protect sensitive data, prevent cyber threats, ensure compliance, and avoid risks like identity theft. Hence, a framework towards secure patient Data access using Hybrid Integrated Hashing Method is introduced to ensure patient confidentiality and efficient data access in healthcare systems. Unlike conventional solutions that rely solely on standard blockchain and secure hash algorithm 256 for data protection, this proposed method integrates a multi-layer hybrid hashing approach combining dynamic hash chaining with temporal entropy encoding, making hash collisions virtually infeasible. A selective data compression mechanism is also embedded to maintain performance while preserving cryptographic strength. Additionally, the system employs role-based decentralized access control, enforced through smart contracts, enabling real-time permission verification and immutable audit trails. A simulated blockchain environment evaluates the proposed method's resilience against ransomware, hash collision, and data manipulation attacks. By employing a standard secure hash algorithm 256 hashing without compression or access-layer optimization, experimental findings show 27% reduced storage usage and 35% quicker data retrieval than typical blockchain-based electronic health record systems. The system shows robust resistance to illegal access compared to traditional role-based access control systems.