Case Study
AI Case Study – How IQVIA Increased Target Patient Identification 15X
AI-powered modeling increased precision of patient identification by 15x and HCP linkage precision by 10x
Apr 25, 2023

This client case study shows how we leveraged our artificial intelligence (AI) and machine learning (ML) capabilities to help our healthcare clients quickly identify and segment the right patients and HCPs and develop important patient journey insights with speed and accuracy.

See how you can drive commercial success in ways that were never possible before with IQVIA's leading Real World Data (RWD) portfolio, combined with our AI and ML algorithms.

Major Case Study Results:

IQVIA’s AI-powered modelling helped achieved results like these::

  • Increased precision of patient identification by 15x and increased precision of HCP linkage by 10x
  • Dramatically increased rate of patient initiation by HCPs identified by the algorithm
  • Treatment transition rate of 28% over three months
How AI and Machine Learning are Driving Dramatic Improvements

In some cases, AI and ML can accelerate results – healthcare analytics platforms can process patient data in larger volumes, faster, and with a precision superior to any other method, improving time to insight. In other cases, AI/ML methods employed together can produce categorically different results, such as identifying patients with complex sets of conditions or even finding future patients before they are diagnosed.

Find Out How AI Can Help You

Want to see how IQVIA AI-powered modeling can dramatically accelerate your results? Ask to speak with an AI expert. You can also see other AI case studies highlighting improvements in patient segmentation and HCP identification.

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Have questions? Want a demonstration ?

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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