The shift to at-risk models of reimbursement necessitates preventative care. To improve patient health and care delivery and reduce costs, providers need to identify at-risk patients, intervene effectively, and strategically allocate resources. During this session, colleagues Leigh Williams, Health IT leader from the University of Virginia Health System, and David Stewart, senior director of population health from Huron Consulting, examined the role that cognitive machines play in the emerging value-based landscape. Leveraging their experience leading technology transformations in health systems across the United States, Leigh and David will share proven techniques for discussing analytics initiatives with executives, break down the difficulty of proving ROI on these initiatives, and discuss ideas for aligning data-driven strategies with organizational priorities to gain support for your analytics investments.
Key Takeaways:
- Describe the shifting healthcare reimbursement landscape in the transition to value-based care and why this matters to executives considering investments in analytics
- Define methods for assessing and quantifying cognitive machine accuracy, impact, and ROI
- Examine ways to effectively align analytics investments with organizational goals and communicate the need for cognitive science solutions