The health industry will see increased implementations of value-based models. This study validates a predictive model for determining emergency room utilization. Data from 2991 records are used for the analysis. To validate the model we used Poisson and random forest models. The results indicate that patients with one of six chronic conditions, who missed scheduled appointments or had higher body mass indexes were more likely to utilize the emergency department.
Keywords: Machine Learning; Resource Allocation; Value-based Healthcare.