Modern Healthcare Systems

Abstract

Patient care is transformed when AIOT is included into contemporary healthcare. The influence of AIOT on remote patient monitoring is examined in this chapter, with a focus on how it may improve healthcare outcomes. Real-time monitoring of vital signs, activities, and mental health is made possible by wearable AIOT devices. Data on blood oxygenation, temperature, respiration, and heartbeat are analyzed using sensor nodes and machine learning. Using RPM, the AIOT architecture gathers a variety of biological data and sends it to the IoT cloud for extensive patient monitoring. Examined for their contributions to patient care are a variety of AIOT healthcare products, including wearables, robotic surgical equipment, blood clotting testing devices, linked inhalers, depression monitoring wristwatch applications, and IoT-connected contact lenses. The chapter demonstrates AIOT's potential to improve patient outcomes and support a more efficient and accessible healthcare system by highlighting its role in early identification, particularly for life-threatening disorders.