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@article{209602,
        author = {Roshan Zameer and Nikhil K R and Punith C and Varun R S and Prof Hanumanth Rao},
        title = {IoT-Enabled Asset Tracking Framework for Hospitals},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {5},
        pages = {2757-2761},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=209602},
        abstract = {Efficient tracking and management of medical equipment are critical for improving resource utilization, minimizing capital expenditure, and reducing operational delays in healthcare facilities. Traditional manual inventory procedures are labor-intensive, highly subjective, and prone to human error, making it difficult to maintain accurate and up-to-date equipment location records across multi-room clinical environments. To address these challenges, this paper presents a comprehensive Internet of Things (IoT)-enabled framework for hospital asset intelligence and tracking using Radio Frequency Identification (RFID) technology. The prototype integrates an ESP32 microcontroller and an EM-18 RFID reader module to identify tagged medical assets, utilizing designated room-switching transponder cards to dynamically record and update locations across specific hospital zones namely Reception, Pharmacy, Store room, ICU-01, General Ward-01, Operation Theatre, and General Ward-02. A robust software backend built with Python FastAPI and MongoDB manages asset information, telemetry, and tracking records, while an interactive React-based dashboard provides a multi-tenant command interface for viewing equipment details, live vital signs (battery health and core temperature), and real-time spatial layouts. Furthermore, the system autonomously enforces configured tracking rules, including geofence-based unauthorized room transfer detection and proactive 30-day warranty expiration notifications based on stored lifecycle data. Comprehensive workflow testing and experimental evaluation were conducted to verify asset identification, room-level tracking accuracy, and instant alert generation.},
        keywords = {Asset tracking, Internet of Things (IoT), RFID, ESP32, hospital equipment management, warranty notifications.},
        month = {October},
        }