Propuesta de modelo de servicios en una Entidad Promotora de Salud (EPS) en Bogotá usando análisis de datos para la asignación eficiente de los recursos en los subservicios de radicación de afiliaciones, aclaraciones, incapacidades y medicina laboral

Abstract

The main objective of Health Promotion Entities (EPS) in Colombia is to improve the health of their members by ensuring access to quality services. To achieve this, a robust data analysis system is essential to enable timely clinical and administrative decision-making. However, current information systems face limitations, such as the lack of mechanisms for rapid service delivery and inefficient data exchange between stakeholders. The literature suggests that technologies such as data mining and machine learning can transform information management in EPS. These tools facilitate the identification of patterns in large volumes of data, which would contribute to the early detection of diseases and the personalization of treatments.