Developing and Validating EHR-integrated Readmission Risk Prediction Models for Hospitalized Patients with Diabetes (eDerri) )
Study PI(s): Dan Rubin and Anuradha Paranjape, Temple University/Temple University Health System
Study Design: Observational Study
Project Summary: Hospital readmission is an undesirable, costly outcome for both patients and hospitals that is often preventable. Patients with diabetes are at higher risk of readmission within 30 days of hospital discharge than patients without diabetes. This project aims to develop new versions of the DERRI model enhanced by EHR (electronic health records) data (eDERRI) that predict unplanned 30-day all-cause hospital readmission risk among patients with diabetes.
Using data from all participating PaTH sites, the aims are: