Continuous monitoring of patient health parameters is a critical requirement in modern healthcare systems, particularly for elderly patients, individuals with chronic conditions, and post-operative care scenarios. Traditional hospital-based monitoring systems are expensive, stationary, and impractical for home-based care environments. This project proposes an IoT-Based Real-Time Patient Health Monitoring System that uses a Raspberry Pi microcomputer interfaced with multiple biometric sensors to continuously collect and transmit vital health parameters including body temperature, heart rate, blood oxygen saturation level, and blood pressure readings. The collected data is transmitted wirelessly to a cloud platform where it is stored, processed, and made accessible through a web-based dashboard. Automated alert mechanisms notify healthcare providers and designated caregivers when recorded values fall outside predefined safe thresholds. The system is designed to be compact, affordable, and easy to operate without requiring technical expertise from patients or caregivers. Testing results confirm that the system achieves high sensor accuracy and reliable data transmission under real-world operating conditions. This research demonstrates how Internet of Things technology can be integrated with cloud computing to deliver an accessible and effective remote patient monitoring solution that reduces healthcare costs and improves patient outcomes.
S et al. (Thu,) studied this question.