Blockchain-Secured Telemedicine and Remote Patient Monitoring System

Abstract

In this paper, the author introduced a blockchain-protected telemedicine system to improve data privacy, integrity, and access control in remote patient monitoring settings. Combining IoT-based health data with blockchain and smart contracts provides security, transparency, and the impossibility of changing medical records. The experimental validation results using an IoT healthcare dataset demonstrated the effectiveness and practicality of the proposed solution. The next step in work will be the integration of AI, Blockchain, remote patient monitoring (RPM) and telemedicine, which has revolutionized health care delivery. Still, data integrity and privacy are among the significant issues because of centralized architectures. The paper suggests using IoT, AES encryption, SHA-256 hashing, and smart contracts as components of the Blockchain-Secured Telemedicine and RPM System to guarantee the security of decentralized data management. It is based on a four-layer architecture, including an IoT layer, vital signs collection, an Edge layer, encryption and hashing, a Blockchain layer, immutable storage and access control, and an application layer for secure telemedicine interaction. The system was coded in Python, Ethereum (Solidity), IPFS, and Flask/Streamlit and tested on a real IoT Healthcare Patient Monitoring dataset. Experimental results show low latency, high throughput, and strong access control, demonstrating that it should be used in real-time telemedicine. Confidentiality, integrity, and tamper resistance were checked through security analysis. In the future, AI, Federated Learning, Layer-2 scaling (Polygon), and Edge Computing will be integrated to improve performance and intelligence, providing intelligent, scalable, and real-time solutions in healthcare.