Panelists discuss how real-world programs like PROMPT-LIPID expose undertreatment patterns and guide care improvement.
Panelists discuss how real-world programs such as PROMPT-LIPID reveal significant undertreatment patterns and missed opportunities in low-density lipoprotein cholesterol (LDL-C) care. Data from such initiatives show that even high-risk patients often fail to reach evidence-based targets.
These findings highlight systemic inefficiencies in care coordination and therapy escalation. Panelists explain that identifying at-risk populations through registry and claims data can guide targeted interventions.
They conclude that learning from real-world models can help close clinical gaps, drive adherence, and improve alignment between guideline recommendations and everyday practice.
Preventing Tomorrow’s High-Cost Claims: The Rising-Risk Patient Opportunity in Medicaid
November 6th 2025For Medicaid care management, focusing on rising-risk patients is more effective than targeting high-cost claimants, whose spending tends to decrease over time due to regression to the mean.
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