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The Copenhagen Triage Algorithm is non-inferior to a traditional triage algorithm: A cluster-randomized study.
Hasselbalch, Rasmus Bo; Pries-Heje, Mia; Schultz, Martin; Plesner, Louis Lind; Ravn, Lisbet; Lind, Morten; Greibe, Rasmus; Jensen, Birgitte Nybo; Høi-Hansen, Thomas; Carlson, Nicholas; Torp-Pedersen, Christian; Rasmussen, Lars S; Iversen, Kasper.
Afiliación
  • Hasselbalch RB; Department of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark.
  • Pries-Heje M; Department of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark.
  • Schultz M; Department of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark.
  • Plesner LL; Department of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark.
  • Ravn L; Department of Emergency Medicine, Herlev-Gentofte Hospital, Copenhagen, Denmark.
  • Lind M; Department of Emergency Medicine, Herlev-Gentofte Hospital, Copenhagen, Denmark.
  • Greibe R; Department of Cardiology, Bispebjerg Hospital, Copenhagen, Denmark.
  • Jensen BN; Department of Emergency Medicine, Bispebjerg Hospital, Copenhagen, Denmark.
  • Høi-Hansen T; Department of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark.
  • Carlson N; Department of Cardiology, Gentofte Hospital, Copenhagen, Denmark.
  • Torp-Pedersen C; The Danish Heart Foundation, Copenhagen, Denmark.
  • Rasmussen LS; Department of Health, Science and Technology, Aalborg University and Department of Cardiology and Epidemiology/Biostatistics, Aalborg University Hospital, Aalborg, Denmark.
  • Iversen K; Department of Anaesthesia, Center of Head and Orthopaedics, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
PLoS One ; 14(2): e0211769, 2019.
Article en En | MEDLINE | ID: mdl-30716123
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Algoritmos / Triaje / Mortalidad Hospitalaria / Servicio de Urgencia en Hospital Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Dinamarca
Texto completo
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XML
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Algoritmos / Triaje / Mortalidad Hospitalaria / Servicio de Urgencia en Hospital Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Dinamarca