Chronic obstructive pulmonary disease (COPD) is among the leading causes of early hospital readmissions. In response to this, U.S. hospitals have begun implementing COPD readmission reduction programs. However, these programs use costly resources without clearly effective strategies and a lack of tools by which to personalize interventions. Due to the poor success of these programs, we aim to develop highly accurate tools to identify high-risk COPD patients and target the most effective interventions to the appropriate patient populations. We will do this by reviewing current research to identify factors that contribute to patients’ readmission and to identify current interventions that attempt to reduce readmissions among COPD patients. We will then use complex modeling techniques and a variety of patient data to develop a risk score that can be used at the bedside to inform a patient’s care during their hospitalization.