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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| 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 |