Predicting readmission of heart failure patients using automated follow-up calls

BACKGROUND: Readmission rates for patients with heart failure (HF) remain high. Many efforts to identify patients at high risk for readmission focus on patient demographics or on measures taken in the hospital. We evaluated a method for risk assessment that depends on patient self-report following d...

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Detalles Bibliográficos
Autores principales: Inouye, Shelby, Bouras, Vasileios, Shouldis, Eric, Johnstone, Adam, Silverzweig, Zachary, Kosuri, Pallav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4397669/
https://www.ncbi.nlm.nih.gov/pubmed/25890356
http://dx.doi.org/10.1186/s12911-015-0144-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4397669/
https://www.ncbi.nlm.nih.gov/pubmed/25890356
http://dx.doi.org/10.1186/s12911-015-0144-8

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