This paper proposes an Internet of Things (IoT) based health monitoring system using wearable sensors for real-time patient monitoring. The system collects physiological data like heart rate, temperature and falls and transmits it to the cloud. A pilot study was conducted with 10 participants wearing the sensors for 24 hours. The system's accuracy was calculated by comparing its data against commercial devices. It achieved over 93% accuracy for heart rate, temperature and fall monitoring. The real-time analysis enabled early detection of health issues. Participants found the system user-friendly. Further work involves adding more sensors and analytics using machine learning for predictive capabilities. The proposed system has potential to improve outcomes through continuous remote monitoring. The prototype remote cardiac monitoring system was tested on 10 patients with heart conditions. It achieved 95% accuracy in detecting arrhythmias and abnormalities compared to hospital ECGs.