AI based home monitoring during COVID-19 pandemic

In a recent study posted to the medRxiv* preprint server, an interdisciplinary team of researchers conducted an open, prospective pilot feasibility analysis through artificial intelligence (AI)-based platform to provide clinical decision support on coronavirus disease 2019 (COVID-19) outcomes. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related symptoms and disease course pose an enormous burden on the healthcare facilities. During the COVID-19 pandemic, e-telemonitoring was recommended to reduce the pressure on the over-whelming healthcare systems and limit access to the emergency department (ED). Healthcare big data analysis use is increasing, as represented by the explosion of the internet of medical things (IoMT). This study was designed to estimate the application and integration of a dedicated AI-based support system with the territory and hospital intervention plan during the COVID-19 pandemic.