Case Study
Dynamic HCP Profiling & Targeting: AI-Powered Precise HCP Segmentation Improves Results
See how we improved the rate of treatment transition – and sales force effectiveness with AI-Powered HCP Profiling and Patient Journey Mapping
Apr 26, 2023

Drive commercial success and sales force efficiency in ways that were never possible before with IQVIA's leading Real World Data (RWD) assets, artificial intelligence (AI) and machine learning (ML) algorithms.

This client case study shows how IQVIA leveraged our ML and AI capabilities to help our healthcare clients find the right patients, the right HCPs (healthcare providers), and develop patient journey insights with precision and speed.

Case Study Results:

In this client case example, we helped achieved results like these:

  • AI-powered HCP profiling and patient journey mapping identified high priority HCPs, increasing the rate of treatment transition
  • Optimization of client commercialization efforts and improved sales force management
  • Precise identification of switch-related factors, allowing for improved identification of new patient opportunities
See How IQVIA AI Drives Unmatched Success

In some cases, it is a matter of degree – advanced healthcare analytics platforms can process patient data in volumes and with a precision beyond any other method speeding time to insight. In others, what AI/ML methods can do together is categorically different, such as spotting patients who are at risk for certain conditions before those conditions are clinically evident.

Helping You Accelerate Your Results

Want to see how IQVIA AI-powered modeling can dramatically accelerate your results? Talk to an AI expert, see other AI case studies demonstrating improvements in patient and HCP segmentation.

This client case study shows how IQVIA leveraged our ML and AI capabilities via our Dynamic HCP Profiling and Targeting solution to help our healthcare clients.

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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.

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