Predicting Patients at Risk for 3-Day Postdischarge Readmissions, ED Visits, and Deaths.

Background: Transitional care interventions can be utilized to reduce post-hospital discharge adverse events (AEs). However, no methodology exists to effectively identify high-risk patients of any disease across multiple hospital sites and patient populations for short-term postdischarge AEs.

Objectives: To develop and validate a 3-day (72 h) AEs prediction model using electronic health records data available at the time of an indexed discharge.