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Temporal associations between emergency department and telehealth volumes during the COVID-19 pandemic: A time-series analysis from 2 academic medical centers.
Reno, Elaine M; Li, Benjamin H; Eutermoser, Morgan; Davis, Christopher B; Haukoos, Jason S; Shy, Bradley D.
Afiliação
  • Reno EM; Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, United States of America. Electronic address: Elaine.reno@cuanschutz.edu.
  • Li BH; Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, United States of America; Department of Emergency Medicine, Denver Health Medical Center, Denver, CO, United States of America.
  • Eutermoser M; Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, United States of America; Department of Emergency Medicine, Denver Health Medical Center, Denver, CO, United States of America.
  • Davis CB; Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, United States of America.
  • Haukoos JS; Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, United States of America; Department of Emergency Medicine, Denver Health Medical Center, Denver, CO, United States of America; Department of Epidemiology, Colorado School of Public Health, Aurora, CO, United St
  • Shy BD; Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, United States of America; Department of Emergency Medicine, Denver Health Medical Center, Denver, CO, United States of America.
Am J Emerg Med ; 54: 238-241, 2022 Apr.
Article em En | MEDLINE | ID: mdl-35182918
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Telemedicina / COVID-19 Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Am J Emerg Med Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Telemedicina / COVID-19 Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Am J Emerg Med Ano de publicação: 2022 Tipo de documento: Article