IoT-Enabled Smart Healthcare System for Monitoring Patient Health and AI-Powered Anomaly Detection

This is the concept of a smart health-care system combined with smart connected sensors with IoT and AI as an enabling mechanism for revolutionizing the way the health status of a patient is to be managed. Having multiple physiological parameters being monitored with this system by having a network of IoT sensors will comprise such things as heart rate, blood pressure, ECG, body temperature, and steps. The data, being collected through these diverse sensors, is processed in real-timethis means that data constantly flows from the individual nodes to the central hub with no pause. The sophisticated AI processing techniques then applied at the central hub scrutinize all the information sent to enable a more critical analysis on the information that was gathered. The role played by AI in the process is that it continues scanning the data for aberrations, any patterns or the presence of health disorders with the most advanced applications of Artificial Intelligence technology. These highly sophisticated algorithms possess the remarkable capability to analyze and identify various trends or tendencies that emerge from the comprehensive health patterns observed. Furthermore, they can play a crucial role in preventing the onset of severe health risks before they escalate into more serious issues. Since the system is targeted for the transfer of alerts to the patients' healthcare providers in addition to the patients, it calls for prompt action in a manner that will aim to provide better wellness to the said patients. This new smart system of healthcare also avails a better mechanism for patient-centered health care, courtesy to its repeated ability to provide suggestions according to a patient's status of health towards providing patients with alert information of their respective sicknesses at the right and appropriate time. Besides the improvement of general health of patients, the system itself adds to the improvement and efficiency of various healthcare processing while simultaneously reducing and eliminating financial burdens associated with the need for additional inpatient services or otherwise complex laboratory tests which are required in most cases