Efficient cost and resource allocation in healthcare is essential for the sustainability of hospital operations and patient-centered initiatives. However, this can be a complex issue due to the extensive scope of work and the difficulty in maintaining economic models designed for these evaluations. In recent years, machine learning (ML) has been increasingly adopted to support healthcare...
Health systems are under growing pressure due to resource constraints and increasing demand. Measuring hospital efficiency is therefore crucial to support effective management and evidence-based policymaking. This study introduces an innovative framework that combines Data Envelopment Analysis (DEA) with machine learning (ML) techniques to assess and predict the efficiency of Portuguese public...
In pursuit of a more sustainable future, populations and economies need to be protected by stronger and more resilient health systems. Their complexity requests adequate assessment frameworks for improving the access and quality of their services. Due to the multidimensional nature of health systems, this study presents a collaborative multi-criteria decision-aiding framework to assess the...
