Predicting all‐cause unplanned readmission within 30 days of discharge using electronic medical record data: A multi‐centre study

OBJECTIVE: To develop a predictive model for identifying patients at high risk of all‐cause unplanned readmission within 30 days after discharge, using administrative data available before discharge. MATERIALS AND METHODS: Hospital administrative data of all adult admissions in three tertiary metrop...

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Detalles Bibliográficos
Autores principales: Sharmin, Sifat, Meij, Johannes J., Zajac, Jeffrey D., Moodie, Alan Rob, Maier, Andrea B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365643/
https://www.ncbi.nlm.nih.gov/pubmed/33960566
http://dx.doi.org/10.1111/ijcp.14306

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365643/
https://www.ncbi.nlm.nih.gov/pubmed/33960566
http://dx.doi.org/10.1111/ijcp.14306

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