Being readmitted to a hospital after a previous hospital stay is an undesirable situation for both patients and hospitals as it is costly and often preventable. However, patients with diabetes are at a higher risk of hospital readmission within 30 days of their previous hospital stay than those without diabetes. In order to address this issue, researchers in the PaTH Network are conducting a project titled “Developing and Validating EHR-integrated Readmission Risk Prediction Models for Hospitalized Patients with Diabetes (eDERRI).” This study spans five PaTH Network sites: Temple University, the University of Pittsburgh, Penn State University, Geisinger, and Johns Hopkins University.

Dr. Daniel Rubin, Professor of Medicine at the Lewis Katz School of Medicine and the Chair of the Glycemic Control Taskforce at Temple University Hospital, is the study’s lead investigator. Dr. Rubin previously developed the Diabetes Early Readmission Risk Indicator (DERRI®) model and, with this study, the PaTH network hopes to develop a new version. This new model, eDERRI, will integrate multi-site electronic health records (EHR) data to improve the model’s predictions of hospital readmission remission for patients with diabetes. When asked about his work on the eDERRI study, Dr. Rubin said, “We anticipate that this study will not only generate better models for predicting readmission risk among people with diabetes, but also lay the groundwork for an automated tool that will identify those with high risk and help reduce that risk.”

For more information, visit the eDERRI page on the PaTH Network website.

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