Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments

BACKGROUND: Risk adjustment models are employed to prevent adverse selection, anticipate budgetary reserve needs, and offer care management services to high-risk individuals. We aimed to address two unknowns about risk adjustment: whether machine learning (ML) and inclusion of social determinants of...

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Detalles Bibliográficos
Autores principales: Irvin, Jeremy A., Kondrich, Andrew A., Ko, Michael, Rajpurkar, Pranav, Haghgoo, Behzad, Landon, Bruce E., Phillips, Robert L., Petterson, Stephen, Ng, Andrew Y., Basu, Sanjay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195714/
https://www.ncbi.nlm.nih.gov/pubmed/32357871
http://dx.doi.org/10.1186/s12889-020-08735-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195714/
https://www.ncbi.nlm.nih.gov/pubmed/32357871
http://dx.doi.org/10.1186/s12889-020-08735-0

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