Approximately half of U.S. healthcare spending is concentrated on just 5% of the population, with 22.8% going to just 1%, according to the Department of Health and Human Services. These figures have remained consistent for years. Data and analytics can help balance the relationship between patient health and costs by identifying critical points in the care journey where conditions can be prevented, keeping patients out of the hospital. With the rise of value-based care, CDOs are implementing methods to accurately measure outcomes and impact. While the value-based care framework aims to share patient data and performance information to identify trends, gaps, and improvement opportunities, practical challenges remain in achieving this quickly, ethically, cost-effectively, and safely. Collaboration remains a key strength in this sector.

• Hear about the impact initiatives to standardize data metrics and frameworks are making on reducing the number of hospital visits and increasing overall health for different patient populations.
• Evaluate the direct effect of various monitoring and early intervention data-led initiatives for at-risk patient groups facing social determinants of health issues on cost reduction.
• Determine the value of sharing anonymized data and best practices across organizations through an open-source model to support more robust benchmarking and evaluation of different approaches.