A predictive model for the early identification of patients at risk for a prolonged intensive care unit length of stay

BACKGROUND: Patients with a prolonged intensive care unit (ICU) length of stay account for a disproportionate amount of resource use. Early identification of patients at risk for a prolonged length of stay can lead to quality enhancements that reduce ICU stay. This study developed and validated a mo...

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Detalles Bibliográficos
Autores principales: Kramer, Andrew A, Zimmerman, Jack E
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2876991/
https://www.ncbi.nlm.nih.gov/pubmed/20465830
http://dx.doi.org/10.1186/1472-6947-10-27

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2876991/
https://www.ncbi.nlm.nih.gov/pubmed/20465830
http://dx.doi.org/10.1186/1472-6947-10-27

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