Predictive Health Monitoring: Leveraging IoT and Cloud Computing

Abstract

The Internet of Things (IoT) has developed significantly in recent years. Cloud computing plays an important role in data storage and processing. During COVID-19 many people lost their lives due to a lack of monitoring of vitals. Keeping track of that many vitals was the challenge. This Smart Health monitoring system (SHMS) effectively monitors patients’ health status and saves lives on time. SHMS helps in monitoring many vital signs like body Temperature (BT), heart Rate (HR), toileting habits, blood pressure, as well as sleep patterns. Think of this system as a smart health companion that quietly looks after the user. It uses small sensors, a data collection unit, and a microcontroller, like Arduino, to keep track of the health in real time. All this information is instantly sent to a secure cloud platform, where intelligent tools continuously check for anything unusual and quickly alert a doctor if something seems off.

It doesn’t just stop there; the system can also connect with a decision support system (DSS) to create clear and helpful medical reports, making it easier to understand health over time. With an accuracy of 91.68%, it offers a dependable and efficient way to stay on top of well-being, especially when regular hospital visits aren’t possible. What makes it even more valuable is its ability to adapt during health emergencies. It can monitor additional vital signs like breathing rate and oxygen levels, which are especially important during illnesses such as COVID-19 or the flu. Overall, this system makes healthcare more accessible, helps detect problems early, supports timely treatment, and reduces the burden on hospitals—acting like a constant, caring presence for health.