Novel integration of governmental data sources using machine learning to identify super-utilization among U.S. counties

BACKGROUND: Super-utilizers consume the greatest share of resource intensive healthcare (RIHC) and reducing their utilization remains a crucial challenge to healthcare systems in the United States (U.S.). The objective of this study was to predict RIHC among U.S. counties, using routinely collected...

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Detalles Bibliográficos
Autores principales: Ricket, Iben M., Matheny, Michael E., MacKenzie, Todd A., Emond, Jennifer A., Ailawadi, Kusum L., Brown, Jeremiah R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358365/
https://www.ncbi.nlm.nih.gov/pubmed/37476591
http://dx.doi.org/10.1016/j.ibmed.2023.100093

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358365/
https://www.ncbi.nlm.nih.gov/pubmed/37476591
http://dx.doi.org/10.1016/j.ibmed.2023.100093

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