A sepsis early warning system is associated with improved patient outcomes

In a real-world implementation of a machine-learning (ML)-based sepsis early warning system (EWS), Adams et al.1, 2 found that timely provider response to an alert was associated with improved mortality, highlighting the potential utility of these systems in patient care.

Detalles Bibliográficos
Autores principales: Kennedy, Jason N., Rudd, Kristina E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Spotlight
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512693/
https://www.ncbi.nlm.nih.gov/pubmed/36130478
http://dx.doi.org/10.1016/j.xcrm.2022.100746
Descripción
Sumario:In a real-world implementation of a machine-learning (ML)-based sepsis early warning system (EWS), Adams et al.1, 2 found that timely provider response to an alert was associated with improved mortality, highlighting the potential utility of these systems in patient care.

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