Ontology highlight
ABSTRACT: Background
Risk assessment of patients with acute COVID-19 in a telemedicine context is not well described. In settings of large numbers of patients, a risk assessment tool may guide resource allocation not only for patient care but also for maximum health care and public health benefit.Objective
The goal of this study was to determine whether a COVID-19 telemedicine risk assessment tool accurately predicts hospitalizations.Methods
We conducted a retrospective study of a COVID-19 telemedicine home monitoring program serving health care workers and the community in Atlanta, Georgia, with enrollment from March 24 to May 26, 2020; the final call range was from March 27 to June 19, 2020. All patients were assessed by medical providers using an institutional COVID-19 ris
SUBMITTER: O'Keefe JB
PROVIDER: S-EPMC8092025 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature