Improving Patient Profiling and Physician Targeting

The client needed better precision in "identifying respiratory patients with highly specific unmet asthma treatment needs" for an innovative respiratory product. IQVIA used proprietary AI/ML combined with real-world healthcare data assets to consolidate fragmented data sources and identify physicians with matching respiratory patient populations. Results: IQVIA's "AI/ML-powered analytics improved precision respiratory patient targeting by 30%," and there was "a major reduction in uncontrolled disease status... found on follow-up for patients in the IQVIA-identified regions," with further analysis improving patient profiling and physician targeting accuracy.

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.