Design of Iot-Enabled Early Warning System For Health Disease Diagnosis

Abstract

Hospitals employ early warning systems as a scoring tool to evaluate a patient's health by periodically taking their vital signs. The EWS has the advantage of lowering medical costs, mortality rates, and irregular record-keeping, all of which improve patient diagnosis and prognosis. Vital signs are a reflection of a patient's health condition and are assigned a sub-score in EWS based on the degree of deviation from the value when compared to a healthy individual. Next, the sum of all subscores is used to estimate the overall score. EWS built on the Internet of Things (IoT) has changed dramatically in the last few decades. It has the power to drastically change the way that healthcare is delivered. The timely provision of healthcare services is increasingly dependent on the vital signs monitoring system. The paradigm has changed from computer-based electronic recording to traditional manual recording. In rural and isolated places without access to basic medical facilities, required infrastructure, or licensed medical professionals, IoT-based EWS is critical to the provision of healthcare services. The design of healthcare, real-time vital sign monitoring, remote health monitoring, and the interpretation of numerous vital signs for the prediction of health status and abnormality detection are the main areas of attention for this research.