Chris Harper, MBAi, MPM

Director, Business Architecture and Analytics, The University of Kansas Health System

Over 15 years of business and technology experience

• Change Management Strategy & Implementation
• Healthcare Business Architecture Modeling & Blueprinting (People, Process, Technology)
• Healthcare Business & Technology Alignment Strategy
• Enterprise Business Intelligence Strategy & Implementation
• Enterprise Data Warehouse Strategy & Implementation
• Process Improvement & Implementation (Lean Six Sigma)
• PMI Tools & Methodologies
• International Business

• Healthcare Provider (AMC & ACO)
• Healthcare Benefit (Medicare, Medicaid, & Employer)
• Healthcare Consulting
• Pharmaceutical
• Retail Operation

Speaker 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.

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