Case Study
Improving Patient Profiling and Physician Targeting
How IQVIA Identified 30% More Uncontrolled Asthma Patients for a Respiratory Treatment
Nov 03, 2022

Our client asked us for improved precision in identifying respiratory patients with highly specific unmet asthma treatment needs.

This case study shows how, leveraging IQVIA's proprietary Artificial Intelligence (AI) and Machine Learning (ML) AI/ML tools and vast RWD healthcare data assets, we combined multiple fragmented data sources to find physicians with large numbers of respiratory patients matching the ideal criteria for the client's innovative respiratory product.

Important Outcomes:

  • IQVIA’s AI/ML-powered analytics, improved precision respiratory patient targeting by 30%
  • A major reduction in uncontrolled disease status was found on follow-up for patients in the IQVIA-identified regions
  • Additional analysis of the IQVIA-generated data was able to lead to further improvements in accurate patient profiling and effective physician targeting

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