[Whitepaper] The Missing Piece to Round Out Your Risk Adjustment Strategy
Achieving a more complete view of member health status is vital for risk adjustment. First, the industry relied on claims and pharmacy data to develop analytical models to calculate member risk and identify missing Hierarchical Condition Categories (HCCs). More recently, innovative healthcare organizations have identified ways to incorporate encounter data into risk modeling. Now it’s time to add laboratory data into the mix to gain an even more complete, accurate view of the member.
Download the Prognos whitepaper, "The Missing Piece to Round Out Your Risk Adjustment Strategy", to learn more about:
- Early HCC identification with lab data
- How lab data can be harmonized from multiple lab companies
- Ways to make lab data actionable and add into existing workflows
- Sample impact of using lab data at a health plan