Sessions

30 – Using Predictive Analytics and Machine Learning to Lower Systemwide Readmissions

It’s hard to reduce systemwide readmissions because it is a complex problem. Readmissions are costly for both patients and healthcare organizations. Many efforts to reduce readmissions focus on a single disease process, diagnosis, service line, or location. This session will review how analytics, machine learning, and predictive models have helped identify at-risk patients and reduce systemwide readmissions at the University of Kansas Health System.

Apply to be an Analytics Walkabout Speaker

  • This field is for validation purposes and should be left unchanged.