Improving Predictive Precision of Oncology Patient Modeling with Enriched Data and Integrated Field Alerts

CAR-T cell therapy presents challenges due to limited data and niche patient populations, so the client needed better methods for identifying eligible patients and their treating HCPs. IQVIA integrated HCP digital-behavior data with clinical claims data via its Audience Identity Manager® XR (AIM XR) platform, combined with AI/ML models. Initial model precision using claims data alone was 60%; enriching with behavioral insights "boosted predictive precision of patients by 8%." Benefits cited include enhanced predictive precision, effective HCP triggers/alerts, and improved salesforce effectiveness.

The customer is anonymised in IQVIA’s own case study — not withheld by us.

IQVIA is the largest combined real-world-data and commercial-intelligence company in healthcare — its legacy IMS prescription and claims data underpins much of the industry's analytics.

This sits in the Build stage of the AI use-case lifecycle: Named examples from the foundation-model labs and platforms pharma teams use to actually construct, train and generate the model or application.