Predicting patient ‘cost blooms’ in Denmark: a longitudinal population-based study

OBJECTIVES: To compare the ability of standard versus enhanced models to predict future high-cost patients, especially those who move from a lower to the upper decile of per capita healthcare expenditures within 1 year—that is, ‘cost bloomers’. DESIGN: We developed alternative models to predict bein...

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Detalles Bibliográficos
Autores principales: Tamang, Suzanne, Milstein, Arnold, Sørensen, Henrik Toft, Pedersen, Lars, Mackey, Lester, Betterton, Jean-Raymond, Janson, Lucas, Shah, Nigam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Health Informatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5253526/
https://www.ncbi.nlm.nih.gov/pubmed/28077408
http://dx.doi.org/10.1136/bmjopen-2016-011580

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5253526/
https://www.ncbi.nlm.nih.gov/pubmed/28077408
http://dx.doi.org/10.1136/bmjopen-2016-011580

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