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, so HIPAA authorizations aren’t required. 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.
These Cookies are necessary for you to access and navigate our sites.
These Cookies are used by us or third-party service providers to analyze how the Sites are used and how they are performing. We use the following service providers and you can learn more about their privacy policies and how to opt-out of their cookies by clicking on these links: