AI-Powered IoT Framework for Predictive Maintenance and Fault Detection in Healthcare Devices

Varsha Negi, R. Ravi, Venkata Ramana Banka, S. Jeeva, Vikram P., Syed Zahidur Rashid

2025

Abstract

In the age of digitized healthcare, maintaining and monitoring the operational effectiveness and reliability of biomedical devices is fundamental to patient security and clinical effectiveness. Consequently, this article provides a Secure & Scalable AIoT Framework for Real-Time Predictive Maintenance and Ethical Fault Detection in Healthcare Devices that combines the concepts of AI and the Internet of Things (AIoT) to realise intelligent monitoring, fault prediction and proactive maintenance. Specifically, the introduced framework addresses critical limitations in today's systems by integrating high-precision data verification modules, strong inter-operability via healthcare data standards and privacy-preserving AI models in accordance with HIPPA and GDPR regulations. Thus lightweight accurate machine learning algorithms are used for low-power, resource-constraint IoT devices, providing scalability and efficiency when potentially operating in event environments with real-time analytics. Also, the framework observes ethical AI procedural using explainable AI (XAI) and bias-mitigation techniques to ensure reliance and trust in critical decision making. Through predictive alerts and visual insights, a user-centric dashboard enables the clinical workforce to act in a timely manner. The system's modular architecture allows adaptive deployment across various healthcare infrastructures, providing a comprehensive solution for intelligent device management that is future-ready. Through experimental evaluations, we provide compelling evidence of marked improvements in fault detection accuracy, prediction latency, and data security, validating its practicality for real-world clinical use.

Paper Citation

in Harvard Style

Negi V., Ravi R., Banka V., Jeeva S., P. V. and Rashid S. (2025). AI-Powered IoT Framework for Predictive Maintenance and Fault Detection in Healthcare Devices. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 468-477. DOI: 10.5220/0013867800004919

in Bibtex Style

@conference{icrdicct`2525,
author={Varsha Negi and R. Ravi and Venkata Banka and S. Jeeva and Vikram P. and Syed Rashid},
title={AI-Powered IoT Framework for Predictive Maintenance and Fault Detection in Healthcare Devices},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={468-477},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013867800004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - AI-Powered IoT Framework for Predictive Maintenance and Fault Detection in Healthcare Devices
SN - 978-989-758-777-1
AU - Negi V.
AU - Ravi R.
AU - Banka V.
AU - Jeeva S.
AU - P. V.
AU - Rashid S.
PY - 2025
SP - 468
EP - 477
DO - 10.5220/0013867800004919
PB - SciTePress