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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68268
Volume:
10 |
10 |
Oct 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Electronics and Communication Engineering
priyadharshini college of engineering

Electronics and Communication Engineering
priyadharshini college of engineering

Electronics and Communication Engineering
priyadharshini college of engineering

Electronics and Communication Engineering
priyadharshini college of engineering

Electronics and Communication Engineering
priyadharshini college of engineering

Electronics and Communication Engineering
priyadharshini college of engineering
The proposed research paper presents AarogyaCare, an IoT-Based Smart Hospital Automation and Patient Monitoring System, designed to improve patient care and reduce the workload of hospital staff. The system integrates multiple monitoring and automation modules, including patient identification using RFID, heart rate and oxygen saturation monitoring using the MAX30100 sensor, bed occupancy detection using a switch, saline level monitoring using a load cell and HX711 module, and medicine reminders using an LED and buzzer. The collected information is displayed on an LCD and a web-based dashboard, allowing hospital staff to monitor important patient-related parameters through a centralized interface. The proposed system aims to support timely attention, improve monitoring efficiency, and reduce the need for continuous manual observation. By combining sensor-based monitoring with IoT connectivity, AarogyaCare provides a practical and cost-effective approach to smart hospital management. The system is intended as a monitoring aid and does not replace professional medical judgment. Further testing under real hospital conditions is required to evaluate its accuracy, reliability, and overall performance
KEYWORDS
The proposed AarogyaCare system presents an IoT-based approach to smart hospital automation and patient monitoring. It integrates RFID-based patient identification, heart rate and SpO₂ monitoring using the MAX30100 sensor, bed occupancy detection, saline level monitoring using a load cell and HX711 module, and medicine reminders using an LED and buzzer. The LCD and web-based dashboard provide a centralized view of the available monitoring information. The system aims to reduce routine manual monitoring efforts and support healthcare staff in managing patient-related activities more efficiently. However, further testing is required to verify its accuracy, reliability, and performance under practical conditions Future work may include improving sensor accuracy through calibration, adding automatic alerts for abnormal readings and low saline levels, and enhancing dashboard features for patient data storage and historical analysis. Additional features such as real-time notifications, secure patient records, and improved wireless connectivity could also be incorporated. With further development and validation, AarogyaCare could become a more reliable and efficient solution for IoT-based hospital monitoring while continuing to support, rather than replace, professional medical supervision.
1. World Health Organization (WHO). Digital Health. https://www.who.int/health-topics/digital-health 2. IEEE Xplore Digital Library. https://ieeexplore.ieee.org 3. SpringerLink – Smart Healthcare Research. https://link.springer.com 4. ScienceDirect – Healthcare IoT and AI Research. https://www.sciencedirect.com 5. Google Scholar. https://scholar.google.com 6. Rajkumar Buyya, Amir Vahid Dastjerdi. Internet of Things: Principles and Paradigms. Morgan Kaufmann. 7. Research articles on AI, IoT, and Wireless Sensor Networks in Smart Healthcare.
Publication Date
10/24/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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