Secure And Scalable EHR Management Via Dynamic Consensus and Privacy-Preserving Blockchain

Abstract

Information flexibility and confidentiality have become significant challenges as medical information management increasingly relies on digital platforms. The centrally controlled structures of current medical systems are problematic due to their vulnerability to information breaches, inefficiencies, and lack of transparency. Establishing consensus in distributed networks while maintaining flexibility and security presents numerous obstacles. To address these issues, this study proposes a Privacy-Preserving Blockchain Framework (PPBF) combined with a Dynamic Elastic Consensus Protocol (DECP) for secure and sustainable handling of medical information. The PPBF leverages advanced cryptographic techniques such as homomorphic encryption and zero-knowledge proofs to safeguard sensitive medical data. DECP dynamically adapts to network conditions to enhance throughput and reduce delays during the consensus process. The proposed system aims to deliver a flexible, decentralized, and secure system capable of efficiently managing large volumes of medical information. Research findings indicate that the framework outperforms existing transaction throughput, flexibility, and security solutions. The proposed system demonstrates up to a 40% improvement in consensus efficiency while preserving patient data privacy and achieves over 95% accuracy in maintaining data integrity. This paper presents a robust approach to overcoming existing challenges in secure information management and establishes a foundation for advancing blockchain-based applications in healthcare.