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Clinicians can independently predict 30-day hospital readmissions as well as the LACE index
BACKGROUND: Significant effort has been directed at developing prediction tools to identify patients at high risk of unplanned hospital readmission, but it is unclear what these tools add to clinicians’ judgment. In our study, we assess clinicians’ abilities to independently predict 30-day hospital...
Kaydedildi:
| Yayımlandı: | BMC Health Serv Res |
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| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BioMed Central
2018
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5778655/ https://ncbi.nlm.nih.gov/pubmed/29357864 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12913-018-2833-3 |
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