Predicting 15-day unplanned readmissions in hospitalization departments: an application of logistic regression

Abstract

Hospital readmission is considered a key research area for improving care coordination and achieving potential savings. This paper has three main objectives: i) to develop a comprehensive experimental study to identify factors affecting the risk of 15-day readmission; ii) to classify patients according to their risk level using logistic regression; and iii) to provide general recommendations to reduce 15-day readmission risk considering different predictors. A real case study in Colombia was considered to validate the proposed methodology.