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Clinical Impact of a Sepsis Alert System Plus Electronic Sepsis Navigator Using the Epic Sepsis Prediction Model in the Emergency Department.
Schertz, Adam R; Smith, Sydney A; Lenoir, Kristin M; Thomas, Karl W.
Afiliação
  • Schertz AR; Department of Internal Medicine, Section on Pulmonology, Critical Care, Allergy, and Immunologic Diseases, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
  • Smith SA; Department of Biostatistics and Data Science, Division of Public Health Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
  • Lenoir KM; Department of Biostatistics and Data Science, Division of Public Health Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
  • Thomas KW; Department of Internal Medicine, Section on Pulmonology, Critical Care, Allergy, and Immunologic Diseases, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
J Emerg Med ; 64(5): 584-595, 2023 05.
Article em En | MEDLINE | ID: mdl-37045722
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article