A Framework to Tackle Risk Identification and Presentation Challenges in Sepsis.

Capan, Muge; Mosby, Danielle; Miller, Kristen; Tao, Jun; Wu, Pan; Weintraub, William; Kowalski, Rebecca; Arnold, Ryan

Capan, Muge; Mosby, Danielle; Miller, Kristen; Tao, Jun; Wu, Pan; Weintraub, William; Kowalski, Rebecca; Arnold, Ryan.

Afiliação

Capan M; Decision Sciences & MIS Department, LeBow College of Business, Drexel University, Philadelphia, Pennsylvania.
Mosby D; National Center for Human Factors in Healthcare, MedStar Institute for Innovation, Washington, DC.
Miller K; National Center for Human Factors in Healthcare, MedStar Institute for Innovation, Washington, DC.
Tao J; University of Delaware, Newark, Delaware.
Wu P; Christiana Care Health System, Newark, Delaware.
Weintraub W; National Center for Human Factors in Healthcare, MedStar Institute for Innovation, Washington, DC.
Kowalski R; National Center for Human Factors in Healthcare, MedStar Institute for Innovation, Washington, DC.
Arnold R; Department of Emergency Medicine, College of Medicine, Drexel University, Philadelphia, Pennsylvania.

Am J Hosp Med ; 2(1)2018.

Article em En | MEDLINE | ID: mdl-30854402

Palavras-chave

Sepsis; dynamic sepsis episodes; electronic health records; risk prediction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 Problema de saúde: 1_sistemas_informacao_saude Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Am J Hosp Med Ano de publicação: 2018 Tipo de documento: Article

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