Leveraging Predictive Models for Ultra-Rare Disorder Identification

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A pharma firm developing therapy for an ultra-rare lysosomal storage disorder used IQVIA ML models after rules-based approaches failed. The AI model, trained on 270 patients, screened 100M records and performed 95x better than incidence rates. It generated biweekly predictive alerts via CRM, linked patients to top-value HCPs, and eliminated duplicates. Results improved outreach efficiency, optimized sales force deployment, and enhanced early patient identification.

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Case Study

Leveraging Predictive Models for Ultra-Rare Disorder Identification

Leveraging Predictive Models for Ultra-Rare Disorder Identification

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