IQVIA’s advanced patient finding and disease modeling solutions use AI/ML to identify patients with unmet needs, predict therapy transitions, and support earlier, more accurate diagnoses. For asthma, predictive models improved targeting of uncontrolled patients by 30%, reducing uncontrolled disease by 17% in six months. Machine learning doubled the rate of identifying biologic-eligible patients, achieving five times greater treatment transition rates. In oncology and rare disease, algorithms boosted precision up to 95x over rules-based methods, improving therapy initiation and physician targeting. These approaches enabled clients to optimize outreach, accelerate adoption, and improve patient outcomes.

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