Virtualized Care Systems, Wearable Sensor-based Devices, and Real-Time Medical Data Analytics in COVID-19 Patient Health Prediction

Abstract

(Poppas et al , 2020) 2 Conceptual Framework and Literature Review Patients who have progressed most from the increased convenience of telehealth services encounter obstacles leaving the house as a result of chronic illness, proceed along to see a specialist, or reside in an inadequately serviced location with unsatisfactory access to care Descriptive statistics of compiled data from the completed surveys were calculated when appropriate 4 Survey Methods and Materials The interviews were conducted online and data were weighted by five variables (age, race/ethnicity, gender, education, and geographic region) using the Census Bureau's American Community Survey to reflect reliably and accurately the demographic composition of the United States (Kaplan, 2021) For patients in the process of mental health treatment who are worried about COVID-19 exposure risk, telehealth has enabled uninterruptedness of mental health care (Hirko et al , 2020) Health systems have advanced automated logic flows that transfer moderate-to-high-risk COVID-19 confirmed individuals to nurse triage lines while allowing them to arrange video visits with healthcare providers so as to prevent transit to in-person care settings