Medical Internet of Things-based Healthcare Systems, Wearable Biometric Sensors, and Personalized Clinical Care in Remotely Monitoring and Caring for Confirmed or Suspected COVID-19 Patients

Abstract

(Annis et al , 2020) 2 Conceptual Framework and Literature Review Groundbreaking technologies can be deployed to enhance access to services and delivery of care, in addition to decreasing unsatisfied mental health needs, especially for rural and mainly inadequately serviced communities throughout the COVID-19 outbreak 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 Study participants were informed clearly about their freedom to opt out of the study at any point of time without providing justification for doing so 5 Results and Discussion Remote monitoring can harmonize with in-person diagnostic assessment, and track progressing health status by use of medical Internet of Things-based healthcare systems (Hirko et al , 2020) 6 Conclusions and Implications Enlarging training sets and advancing predictive models encompassing preexistent risk factors can supply a full-scale tool driving the decisions of the telehealth providers by use of computer screening algorithms and wearable biometric sensors for COVID-19, with the aim of configuring personalized clinical care