WEB3-BASED MEDICAL APPOINTMENT AND REFERRAL SYSTEM WITH CLOUD DATA INTEGRATION

Abstract

This study investigates traditional health care delivery systems to eliminate current inefficiencies by creating a decentralized appointment and referral management system using Web 3.0 technology, blockchain, smart contracts, and Decentralized Identity (DID) compatible with scalable cloud storage. In a series of multi-agent simulations run on the Ethereum and Polygon Testnets, the performance of the system under simulated high-load traffic scenarios was tested. The simulation results showed consistent transaction latencies (285 ms average), high throughput rates (34 appointments per second), and low errors rates (1.4%). Another innovation of this study was the development of a hybrid architecture that enables the storage of cryptographic hashes associated with medical records on-chain, while keeping patient data encrypted on off-chain servers. This allows the immutability and auditability of the data while still maintaining compliance with GDPR and HIPAA regulations by enabling patient data to be deleted from the system entirely. As a result, this system was significantly more secure, transparent, and operationally efficient compared to current centralized systems. These findings confirm and support the potential of decentralized technologies for Scalable, Trustworthy Medical Service Delivery of the Data.