Curv – Segmentation is a predictive model purpose-built for risk adjustment: It identifies new members with likely hierarchical condition categories and sorts them into tiers based on HCC revenue potential.
The model leverages our patented deidentification and tokenization technology—and the same Milliman-sourced prescription and medical claims data that has proven its value in group health underwriting for more than a decade—to infer relevant conditions and severity often missed by other sources. With this superior data-driven insight, you can better allocate your outreach resources and more urgently connect with high-risk members in need of reimbursement-critical coding and treatment.
Curv – Segmentation uses deidentified data. All you need is a simple group census.
Curv – Segmentation quickly sorts new members into custom-calibrated risk tiers, predicting their likelihood for HCC revenue. Without its AI-powered edge, you could be missing:
Every ACA plan has new members with uncoded HCCs, but you don’t have to leave their risk adjustment value on the table. Schedule a demo to learn how you can use Curv – Segmentation’s superior AI to turn high-risk enrollees into high-reward opportunities in their very first year.
Milliman’s Curv® products are protected by U.S. patents.
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