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...

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Detalles Bibliográficos
Autores principales: Miller, William Dwight, Nguyen, Kimngan, Vangala, Sitaram, Dowling, Erin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5778655/
https://www.ncbi.nlm.nih.gov/pubmed/29357864
http://dx.doi.org/10.1186/s12913-018-2833-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5778655/
https://www.ncbi.nlm.nih.gov/pubmed/29357864
http://dx.doi.org/10.1186/s12913-018-2833-3

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