 The purpose of this study is to develop an administrative data-based risk prediction model for identifying potentially avoidable 30-day readmissions of patients hospitalized with community-acquired pneumonia CAP. The focus is on potentially avoidable readmissions because not all hospital readmissions can be influenced by interventions designed to decrease them. 