SECURE - MEDSHARE: Decentralized Patient Data Sharing for Improved Healthcare

Abstract

Blockchain provides a decentralized framework for peer-to-peer networks' data and transaction management. The basic approach to the proposed system is to create a trustworthy and secure platform that enables doctors to safely store, access, and manage patients' private medical information while abiding by stringent privacy laws to protect patient confidentiality. Data that has been separated into blocks can be distributed because of to the decentralized system. Then, every block is shielded against hackers trying to change the data. All of the network's peers, or miners, or users, must validate each modification to the data using modern cryptography techniques. The SECURE - MEDSHARE system uses blockchain technology to store patient data from different hospitals in a decentralized and secure way, overcoming the limitations of local servers. In an era where data privacy and security are paramount, this Proposed System presents a pioneering solution leveraging blockchain technology for secure medical data sharing. The system's foundation relies on the decentralized nature of blockchain, implemented through Ethereum and Hardhat for robust smart contract deployment and management. Interactions occur via a user-friendly React frontend, integrating seamlessly with MetaMask for secure blockchain transactions. The Proposed System utilizes IPFS for decentralized file storage, ensuring data integrity and accessibility. Smart contracts play a pivotal role, orchestrating access controls and establishing a transparent framework for healthcare data sharing. This innovative approach promises heightened security, privacy, and efficiency in managing sensitive medical information, catering to the evolving needs of modern health care systems. The system's architecture and functionality align with the growing demand for reliable, decentralized solutions in data-sensitive domains, positioning it as a potential cornerstone in revolutionizing healthcare data management