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...

Full description

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/