Northwestern Medicine has evaluated various tools and processes to detect patient deterioration sooner and one of these tools is Epic’s Deterioration Index (DI). DI is a predictive analytics model that promotes a proactive approach to identifying patient acuity. Epic’s data science team has developed and validated this model through more than 100,000 patient encounters across multiple organizations! After piloting, NM achieved a 15 to 20% decline in unplanned ICU transfers!
Epic’s DI improves on previous warning systems by including additional data points:
A risk score from zero to 100 is calculated every 15 minutes, incorporating all new information entered into Epic.
Consider adding this tool (Deterioration-Index-Patient-List-Column) to your Epic columns and share any feedback you have via this form to help further improve this resource!