Advance-CTR

Big Data Pilot Project Awards (2017)

"ED SMART NOTIFICATIONS: REAL-TIME PREDICTIVE MODELING OF AT-RISK EMERGENCY DEPARTMENT PATIENTS"

CO-PIS: MEGAN RANNEY, MD, MPH (CONTACT PI), FRANCESCA BEAUDOIN, MD, PHD, AND ELIZABETH SAMUELS, MD

Frequent ED visits serve as a marker of multiple health risks. Although public health and governmental bodies call for identification of these at-risk patients and linkage to treatment, current systems make it difficult to identify patients at risk of frequent ED visits (and related comorbidities) at the time of an ED visit. This pilot study will use existing big data from statewide health records to develop preliminary predictive analytic models, which will later be implemented in real-time during ED visits to help improve this at-risk population's health status.