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International Journal of Zoology and Applied Biosciences Research Article
Development of a cloud-connected IOT infrastructure for intelligent patient health assessment
Pugazh Gowrishankar, Ashwini L, Vijai Krishna V, Madhumitha N and Geetha C
Year : 2025 | Pages: 562-566
Received on: 26/09/2025
Revised on: 22/10/2025
Accepted on: 26/11/2025
Published on: 01/12/2025
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Pugazh Gowrishankar, Ashwini L, Vijai Krishna V, Madhumitha N and Geetha C( 2025).
Development of a cloud-connected IOT infrastructure for intelligent patient health assessment
. International Journal of Zoology and Applied Biosciences, 10( 6), 562-566.
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Abstract
The rapid evolution of Internet of Things (IoT) technologies has significantly transformed modern healthcare systems by enabling real-time physiological monitoring, seamless data transmission, and intelligent clinical decision support. This study presents the development of a cloud-connected IoT infrastructure designed for continuous patient health assessment using multi-sensor data acquisition. The proposed system integrates temperature, blood pressure, and heart-rate sensors with an AT89S52 microcontroller to collect vital signs, which are transmitted through wireless communication to a cloud server for storage, analysis, and visualization. The cloud platform enables remote access for healthcare professionals, allowing timely diagnosis, proactive intervention, and comprehensive patient monitoring. Experimental results demonstrate the system’s reliability, accuracy, and ability to provide health status updates every 60 seconds. This work highlights the potential of IoT-enabled healthcare systems to enhance patient outcomes, reduce hospital workload, and support scalable telemedicine applications. The study also outlines future enhancements including AI-driven analytics, predictive diagnostics, and extended multi-parameter sensing.
Keywords
IoT-Based Healthcare, Cloud Computing, Patient Monitoring, Biomedical Sensors, AT89S52.
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© The Author(s) 2025. This article is published by International Journal of Zoology and Applied Biosciences under the terms of the Creative Commons Attribution 4.0 International License (creativecommons.org), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
