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Identifying patients at highest-risk: the best timing to apply a readmission predictive model

BACKGROUND: Most of readmission prediction models are implemented at the time of patient discharge. However, interventions which include an early in-hospital component are critical in reducing readmissions and improving patient outcomes. Thus, at-discharge high-risk identification may be too late fo...

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Detalles Bibliográficos
Autores principales: Flaks-Manov, Natalie, Topaz, Maxim, Hoshen, Moshe, Balicer, Ran D., Shadmi, Efrat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595564/
https://www.ncbi.nlm.nih.gov/pubmed/31242886
http://dx.doi.org/10.1186/s12911-019-0836-6