Utility of a Telephone Triage Hotline in Response to the COVID-19 Pandemic: Longitudinal Observational Study.

Benjamin A Y Cher Eric A Wilson Alexa M Pinsky Ryan F Townshend Ann V Wolski Michael Broderick Allison M Milen Audrey Lau Amrit Singh Sandro K Cinti Carl G Engelke Anjan K Saha

Published in: Journal of medical Internet research (2021)

The triage algorithm successfully diverted low-risk patients to suitable algorithm endpoints, while directing high-risk patients onward for immediate assessment. Data collected from hotline calls also enhanced knowledge of symptoms and risk factors that typified community members, demonstrating that pandemic hotlines can aid in the clinical characterization of novel diseases.

Keyphrases

end stage renal disease
emergency department
risk factors
newly diagnosed
ejection fraction
chronic kidney disease
healthcare
machine learning
prognostic factors
peritoneal dialysis
sars cov
deep learning
mental health
coronavirus disease
cross sectional
big data
data analysis