Desired Characteristics of a Clinical Decision Support System for Early Sepsis Recognition: Interview Study Among Hospital-Based Clinicians.

Silvestri, Jasmine A; Kmiec, Tyler E; Bishop, Nicholas S; Regli, Susan H; Weissman, Gary E

Silvestri, Jasmine A; Kmiec, Tyler E; Bishop, Nicholas S; Regli, Susan H; Weissman, Gary E.

Afiliación

Silvestri JA; Palliative and Advanced Illness Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.
Kmiec TE; Palliative and Advanced Illness Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.
Bishop NS; Palliative and Advanced Illness Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.
Regli SH; University of Pennsylvania Health System, Philadelphia, PA, United States.
Weissman GE; Palliative and Advanced Illness Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.

JMIR Hum Factors ; 9(4): e36976, 2022 Oct 21.

Article en En | MEDLINE | ID: mdl-36269653

Palabras clave

clinical decision support; human factors; predictive information; sepsis; sepsis onset

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research / Screening_studies Idioma: En Revista: JMIR Hum Factors Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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