Case Study
Preventing Early Drug Discontinuation
IQVIA Predicted 81% of Multiple Sclerosis Patients Likely to Discontinue Treatment Early
Nov 03, 2022

Identifying key patient journey events that lead to early product discontinuation is an important part of product strategy – especially for treatments of chronic or long-term conditions like multiple sclerosis.

In this case study, IQVIA’s Real World Data (RWD) resources and state-of-the-art artificial intelligence (AI) and machine learning (ML) methods helped this large Biotech company to accurately identify patients at high risk of discontinuing a multiple sclerosis medication treatment.

Strategic Impact:

  • IQVIA's AI-powered modelling successfully predicted 81% of patients likely to discontinue treatment early
  • Our client was able to formulate new business strategies to address identified issues and improve patient adherence, helping to realize their product’s true value
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