Case Studies

Predictive analytics at University of Michigan Health System (UMHS)

“Analytics changes the way data and technology are viewed. It breaks down traditional barriers that have limited IT and addresses the movement and use of data,” says Dr. Andrew Rosenberg, Chief Medical Information Officer of the University of Michigan’s Heath System. UMHS includes three hospitals, 40 outpatient locations, extensive home care services, research, and education centers. UMHS was one of only two Accountable Care Organizations in the Medicare ACO Pioneer program, which improved both outcomes and margins.

One of the factors cited for the program’s success was UMHS’s consistent use of analytics to drive clinical decision-making and population health management. UMHS created comprehensive registries for population health and used them to generate predictive analytics that focused predominantly on chronic diseases. Through enterprise-level data governance and information management, UMHS aims to leverage analytic insights to improve the effectiveness of existing programs and enable new innovations such as public health genomics, pathology informatics, cancer research, and perioperative analytics — all of which may help to improve quality processes and, ultimately, outcomes for additional populations. These initiatives will likely support innovations in care delivery, research, medical education, and administrative functions.

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