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.

• Which healthcare providers had high volumes of patients with both obesity and type 2 diabetes?
• Which patient populations with type 2 diabetes and obesity were not being treated appropriately for their comorbid obesity?