Case Study
Leveraging Machine Learning to Optimize Care for Patients with Type 2 Diabetes and Obesity
A pharma company preparing for approval of a dual-action diabetes/obesity drug needed to identify patients with unmet needs and their providers. IQVIA configured ML apps in just three weeks, creating patient cohorts and market definitions from claims data. The tool revealed relevant HCPs, supported tailored outreach, and enabled continuous updates. Tight deadlines were met, and the client achieved precise targeting to facilitate optimal care and engagement.