Next-Gen Healthcare: AI-Powered IoT for Smart Hospitals

Guruprakash K. S., Nithya T. M., Deepak S., Devadharshini K. S., Dharshini R., Dinesh Krishna S.

2025

Abstract

The healthcare industry faces challenges in patient monitoring, resource management, and emergency response, necessitating an advanced AI and IoT-based hospital management system for real-time data acquisition, automated decision-making, and remote monitoring. This system integrates body temperature, heart rate, and blood oxygen sensors to continuously track patient vitals, with data processed by an Arduino microcontroller and transmitted via Wi-Fi using NodeMCU, enabling healthcare professionals to monitor patients remotely through a web or mobile interface. An AI-driven bed allocation system ensures optimal resource utilization by analysing patient conditions, infection risks, and proximity to other patients, automatically assigning beds to minimize cross-contamination and ensuring that infectious patients are isolated appropriately. The system also considers patient severity, special medical needs, and ICU availability to allocate resources efficiently. A pressure sensor detects hospital bed occupancy in real-time, further enhancing resource management, while a buzzer alert system notifies staff of critical changes in patient conditions, enabling immediate intervention. Additionally, AI-powered predictive analytics can forecast patient deterioration based on historical and real-time data, allowing for proactive medical attention. Designed with cost-effective, energy-efficient components, the system seamlessly integrates AI and IoT technologies, making it scalable and adaptable for hospitals of all sizes, ultimately improving patient care, operational efficiency, and emergency response.

Paper Citation

in Harvard Style

S. G., M. N., S. D., S. D., R. D. and S. D. (2025). Next-Gen Healthcare: AI-Powered IoT for Smart Hospitals. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 833-839. DOI: 10.5220/0013944500004919

in Bibtex Style

@conference{icrdicct`2525,
author={Guruprakash S. and Nithya M. and Deepak S. and Devadharshini S. and Dharshini R. and Dinesh S.},
title={Next-Gen Healthcare: AI-Powered IoT for Smart Hospitals},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={833-839},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013944500004919},
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 - ICRDICCT`25
TI - Next-Gen Healthcare: AI-Powered IoT for Smart Hospitals
SN - 978-989-758-777-1
AU - S. G.
AU - M. N.
AU - S. D.
AU - S. D.
AU - R. D.
AU - S. D.
PY - 2025
SP - 833
EP - 839
DO - 10.5220/0013944500004919
PB - SciTePress