This research study analyzes how embedded IoT can be used to identify cardiac problems in hospitals. The integrated Internet of Things (IoT) in hospitals is the foundation of the proposed approach. It can communicate wirelessly and can connect the local area around the user. Information about the surroundings is also sent to the user via headphones by broadcasting a sequence of voice commands that are recorded on the system’s memory card. At the core of this system is a robust IoT architecture that collects and processes cardiac data through wearable or bedside sensors, transmitting vital information seamlessly to healthcare providers. A key differentiator of this approach is its audio feedback mechanism, where critical alerts are delivered through headphones via pre-recorded voice commands stored on the system's memory card, ensuring prompt attention even in busy hospital settings. The prototype also includes proper connecting mechanisms to avoid interference from two or more neighboring devices. The research methodology includes comprehensive experiments using simulated and real-world cardiac events, supported by rigorous statistical analysis to validate the system’s accuracy and responsiveness. Results demonstrate significant improvements in detection time and alarm accuracy compared to conventional monitoring systems, with particular effectiveness in identifying arrhythmias and ischemic events. Finally, the experiments and statistical analysis are used to assess and show the device’s efficacy.