Risk adjustment revisited using machine learning techniques
Risk adjustment is vital in health policy design. Risk adjustment defines the annual capitation payments to health insurers and is a key determinant of insolvency risk for health insurers. In this study we compare the current risk adjustment formula used by Colombia's Ministry of Health and Soc...
- Autores:
-
Riascos Villegas, Alvaro José
Romero, Mauricio
Serna, Natalia
- Tipo de recurso:
- Work document
- Fecha de publicación:
- 2017
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/8676
- Acceso en línea:
- http://hdl.handle.net/1992/8676
- Palabra clave:
- Risk adjustment
Diagnostic Related Groups
Risk selection
Machine learning
Seguros de salud - Colombia
Evaluación de riesgos contra la salud - Colombia
Política de salud - Colombia
I11, I13, I18, C45, C55
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/