Machine Learning, Predictive Analytics, and Process Redesign Reduces Readmission Rates by 50 Percent
Machine Learning, Predictive Analytics, and Process Redesign Reduces Readmission Rates by 50 Percent
8 PagesCopyright © 2017 Health Catalyst 1 Machine Learning, Predictive Analytics, and Process Redesign Reduces Readmission Rates by 50 Percent Success Story HEALTHCARE ORGANIZATION Academic Medical Center Integrated Delivery System PRODUCTS Health Catalyst ® Analytics Platform, including the Late-BindingTM Data Warehouse and broad suite of analytics applications EXECUTIVE SUMMARY The estimated annual cost of readmissions for Medicare is $26 billion, with $17 billion considered avoidable. Readmissions are driven largely by poor discharge procedures and inadequate follow- up care. Nearly one in every five Medicare patients discharged from the hospital is readmitted within 30 days. The University of Kansas Health System had previously made improvements to reduce its readmission rat
