Artificial Intelligence-enabled Healthcare Delivery and Digital Epidemiological Surveillance in the Remote Treatment of Patients during the COVID-19 Pandemic

Abstract

(Mann et al , 2020) 2 Conceptual Framework and Literature Review Computationally streamlined, extremely secured algorithms can protect electronic health records harnessed instantaneously for telediagnosis associated with Internet of Things-based healthcare systems in the remote treatment of patients during the COVID-19 pandemic 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 (Abdel-Basset et al , 2021) Smart healthcare can decrease the transmission of COVID-19, enhance the safety of frontline medical staff, boost efficacy by declining the severity of such a contagious disease on confirmed patients, and reduce mortality rates by use of wearable Internet of Medical Things systems, e-health applications, ambient sensors (digital surveillance), and remote diagnostics (Goldschmidt, 2020) Medical centers are reacting to COVID-19 by swiftly embracing telemedicine and virtual care that provide digital or remote healthcare services by using data-driven tools and technologies for treatment of confirmed patients in a safe, accessible, and appropriate manner