Sensor Data Transforming into Real-Time Healthcare Evaluation: A Review of Internet of Things Healthcare Monitoring Applications

As the world population ages and the frequency of chronic diseases grows, it will become more crucial to discover effective healthcare solutions to guarantee that people may live healthy, productive lives. The possibility of deploying Internet of Things (IoT)-based remote health surveillance devices has gained considerable attention. This concept has the potential to improve homecare for those with chronic diseases and the elderly, while cutting healthcare costs and lessening the pressure on hospital systems. This study analyses the potential of Internet of Things (IoT) applications in healthcare settings and provides an IoT Tiered Architecture (IoTTA) for transforming sensor output data into direct clinical input. This strategy takes into consideration several activities, including sensing, transmitting, processing, storing, mining, and learning. In IoT healthcare application development, this strategy may be used to give efficient and useful solutions. Data mining, self-care, and machine learning are the fastest-growing subfields of IoT applications in healthcare, according to the report.