See how we bring together global data assets, AI-powered analytic solutions, and industry-leading healthcare expertise
Read this case study to learn how a large pharmaceutical company interested in identifying HCPs treating diabetic patients with comorbid obesity leveraged IQVIA’s Dynamic HCP Profiling and Targeting solution to draw market insights and optimize care quickly and easily.
Many patients diagnosed with type 2 diabetes have comorbid diagnoses of obesity. This case study shows how machine learning helped a large client more accurately identify patients and target their HCPs, thereby facilitating optimal care. This project relied on use of IQVIA’s rich, claims-based US healthcare data assets.
Key business questions answered:We'd love to show you how AI and Machine Learning can help you find the right patients, the right HCPs, and develop patient journey insights with precision and speed.
Just send us a message and we'll connect you to a dedicated expert who you can give you a demonstration, customized to your goals and needs.
See how we improved the rate of treatment transition – and sales force effectiveness with AI-Powered HCP Profiling and Patient Journey Mapping
Harness the power of RWD assets and our extensive AI and Machine Learning expertise to provide dynamic, up-to-date HCP profiling and targeting for effective sales force allocation.
Identifying the right HCPs and patients produced a 5x greater rate of treatment transition vs previous methods
See how we bring together global data assets, AI-powered analytic solutions, and industry-leading healthcare expertise
Quickly identify opportunity patients and easily discover high value physicians