IQVIA applied AI/ML models to identify patients with exocrine pancreatic insufficiency (EPI) who were often undiagnosed or misdiagnosed. By linking predictions to specific HCPs, targeting strategies were refined to accelerate accurate diagnoses and treatment. Over 20 months, patients flagged by the model were 16 times more likely to be treated correctly, and high-risk patients were 39 times more likely to convert. This precise segmentation enabled efficient field deployment, shortened diagnostic timelines, and expanded access to therapy for underserved patient populations at scale.

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