• Risk drives outcomes and therefore needs to be understood and managed at its most elemental root cause levels including behavioral, social, ecosystem risk

  • Integrating diverse data sets better identifies and prioritises risks which leads to insights for improving outcomes

  • Excess cost and utilization are concentrated at the intersection points of vulnerable populations with vulnerable care processes

  • Successful interventions require attention to workflow, dataflow, incentives and culture

  • Actionable risk-based segmentation is the key to efficient resource utilization and effective interventions