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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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| Опубликовано в: : | BMC Med Inform Decis Mak |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6595564/ https://ncbi.nlm.nih.gov/pubmed/31242886 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-0836-6 |
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