Predicting length of stay from an electronic patient record system: a primary total knee replacement example

BACKGROUND: To investigate whether factors can be identified that significantly affect hospital length of stay from those available in an electronic patient record system, using primary total knee replacements as an example. To investigate whether a model can be produced to predict the length of sta...

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Detalles Bibliográficos
Autores principales: Carter, Evelene M, Potts, Henry WW
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3992140/
https://www.ncbi.nlm.nih.gov/pubmed/24708853
http://dx.doi.org/10.1186/1472-6947-14-26

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3992140/
https://www.ncbi.nlm.nih.gov/pubmed/24708853
http://dx.doi.org/10.1186/1472-6947-14-26

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