July 30, 2015

The healthcare environment is being challenged to provide greater access, better economic efficiency and better patient outcomes. Leveraging the analytic power of predictive modeling will enable healthcare providers to accomplish this by turning raw patient data into actionable information like readmission risk, expected length of stay, likelihood of hospital acquired infections – and much more.

This webinar will focus on building a patient readmission model. We will explore the data required, create a repeatable process for organizing and preparing the data for modeling and scoring, and build a predictive model. We’ll then show how a scoring process can be created to automatically assign readmission risk scores to each patient on a daily basis, delivering reports to case managers and hospital staff.