Master the complexities of Medicaid risk adjustment with three analytics-driven strategies.
Medicaid risk adjustment relies solely on prospective and concurrent care, requiring plans to have a deep knowledge of their member population. However, segmenting member data by highest priority for interventions can be a challenge.
Watch the Recording to:
- Understand the challenges and limitations of data overload
- Segment data by opportunity for the right members at the right time
- Master the complexity of state-to-state guidelines and the CDPS Rx model
- Apply interventions with powerful tools and technology to impact performance and patient health