Big Data Analytics to Reduce Preventable Hospitalizations—Using Real-World Data to Predict Ambulatory Care-Sensitive Conditions

The purpose of this study was to develop a prediction model to identify individuals and populations with a high risk of being hospitalized due to an ambulatory care-sensitive condition who might benefit from preventative actions or tailored treatment options to avoid subsequent hospital admission. A...

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Detalles Bibliográficos
Autores principales: Schulte, Timo, Wurz, Tillmann, Groene, Oliver, Bohnet-Joschko, Sabine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10049041/
https://www.ncbi.nlm.nih.gov/pubmed/36981600
http://dx.doi.org/10.3390/ijerph20064693

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10049041/
https://www.ncbi.nlm.nih.gov/pubmed/36981600
http://dx.doi.org/10.3390/ijerph20064693

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