ISQUA16-1722PREDICTING PEDIATRIC READMISSIONS

Reducing readmissions is important to provide patients with the best care, but also to control healthcare costs. Most modes to predict which patients will be readmitted are based on adults. We undertook this study to create a useful algorithm for clinical staff that predicts risk of hospital readmission within 30 days for pediatric patients. This retrospective study included hospital inpatients ages greater than 28 days to 17 years old, discharged from Mayo Clinic Rochester, Minnesota, USA from January 1st, 2013 to September 30th, 2014 (n = 5,627 admissions/3,627 patients). Readmissions were defined as …