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.