Applications of Intelligent Systems and the Internet of Things in Clinical Health

Abstract

Patient management, diagnosis, and medical care have all changed as a result of the incorporation of Intelligent Systems (IS) and the Internet of Things (IoT) into clinical healthcare. With a focus on real-time patient monitoring, predictive analytics, and customised treatment plans, this paper outlines the major ways in which these technologies might improve healthcare outcomes. AI and machine learning-powered intelligent systems handle large amounts of clinical data to provide risk assessment, early disease detection, and optimal treatment regimens. Through the direct transmission of vital signs and health indicators to healthcare practitioners for prompt intervention, Internet of Things (IoT) devices, such as wearables, implanted sensors, and smart medical equipment, provide continuous health monitoring. In clinical health, IS and IoT work together to minimise hospital admissions, promote proactive health care, especially for patients with chronic illnesses, and enable remote patient monitoring.