Ben Cleveland is a Data Scientist at UnityPoint Health in Strategic Analytics. He designs and operationalizes data products that utilize advanced data modeling techniques for the purposes of clinical excellence, strategic planning, and improvement within a large health system. His machine learning and visualization tools are in active use across the enterprise, from executive leadership to clinicians and care teams. Cleveland is a nationally recognized data science practitioner with speaking invitations at analytics, IT, and population health events across the country. His work was awarded the 2016 Project of the Year in Patient Safety from Health Data Management, Finalist for the 2016 ANNY Award from the International Institute for Analytics, and first place in the 2018 Healthcare Informatics Innovator Awards.
Far too often analytics efforts have fallen short of making a tangible impact on outcomes because they haven’t been successfully implemented in real workflows. Predictive models remain at risk of becoming isolated in their use along the continuum of care where their integration may provide benefits larger than the sum of each silo. UnityPoint Health (UPH) focused on integrating analytical models within the same readmission reduction strategy and coaching the care team to facilitate their adoption. Using this approach, one of UPH hospital’s risk-adjusted readmission indexes improved 40 percent over three years, surpassing internal system targets in performance and becoming the top performer in the health system. This session will provide an overview of the analytics tools and methods UPH used, including innovative individualized risk heat-maps generated for each patient, strategies for analytics adoption, and lessons learned along the way.