Improved Precision in Identification of Asthma Patients With Unmet Needs Using Predictive Models

2 Pages

Outlines how IQVIA used AI/ML and real-world data to better identify uncontrolled asthma patients. Predictive models improved precision by 30%, eliminating non-target patients and providing a more granular view of the patient journey. Six-month follow-up showed a 17% reduction in uncontrolled disease status among treated patients. The approach also pinpointed physicians most likely to treat target patients, enabling more effective dissemination of therapies and improved healthcare outcomes.

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Improved Precision in Identification of Asthma Patients With Unmet Needs Using Predictive Models

Improved Precision in Identification of Asthma Patients With Unmet Needs Using Predictive Models

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