Sequence Analysis of Long-Term Readmissions among High-Impact Users of Cerebrovascular Patients

OBJECTIVE: Understanding the chronological order of the causes of readmissions may help us assess any repeated chain of events among high-impact users, those with high readmission rate. We aim to perform sequence analysis of administrative data to identify distinct sequences of emergency readmission...

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Detalles Bibliográficos
Autores principales: Rao, Ahsan, Bottle, Alex, Darzi, Ara, Aylin, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5448070/
https://www.ncbi.nlm.nih.gov/pubmed/28593066
http://dx.doi.org/10.1155/2017/7062146

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5448070/
https://www.ncbi.nlm.nih.gov/pubmed/28593066
http://dx.doi.org/10.1155/2017/7062146

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