IOT-Based Integrated Asset Tracking And Predictive Maintenance Framework For Modern Healthcare Environments

Abstract

Modern healthcare facilities face significant operational challenges due to the mismanagement of critical medical assets, leading to substantial financial losses and compromised patient care. While various Real-Time Location Systems (RTLS) using RFID, BLE, and Wi-Fi have been proposed, they often suffer from signal interference, lack of room-level precision, and a passive approach to maintenance. This paper proposes a multi-modal IoT ecosystem that fuses BLE proximity sensing with Infrared (IR) correction to achieve granular accuracy. Furthermore, it integrates an AI-driven predictive maintenance layer and a blockchain-based decentralized ledger to ensure data integrity and operational efficiency. The proposed framework transforms asset tracking from a passive inventory tool into a proactive management system.