Antonio Fabbrizio, Filippo Macaluso
This article furnishes an overview of the actual IoT technology used in integrated home assistance. It delineates how the IoMT devices are improving the implementation of integrated home assistance services, and how the IoT technology can influence the global healthcare assistance in upcoming years aiding healthcare systems by supplying secure and effective cures in a complementary or alternative way, even during periods of crisis or health epidemics, like that of “COVID-19.” Healthcare assistance based on IoT and the use of deep machine learning can in fact help healthcare workers by giving them new and improved diagnostic capabilities. The combination of machines and clinical experience improves the reliability of the services of integrated home assistance. Artificial intelligence and deep learning can also optimize disease management, provide large amounts of data, and generate analytics from IoMT devices. Transforming the delivery of integrated home assistance healthcare services in this way, thanks to IoT, is essential for improving self-management for people with chronic illnesses and providing specialized care for people located far away or at home.