Optimizing Patient Support Programs

Solution Advanced Analytics Framework
Solution Advanced Analytics Framework
Industry Pharma & Life Sciences
Region US
Context
Despite substantial investment by healthcare and pharmaceutical organizations in medication adherence analytics platform capabilities, patient non-compliance remains one of the most widespread concerns in the industry. This issue is particularly relevant in the context of long-term medication used to treat chronic diseases, as an estimated 50% of patients do not take their medications as prescribed, reducing the effectiveness of treatment regimens. Without patient support program optimization, this non-compliance costs businesses around $100 billion annually and could even result in fatalities.
Problem Statement

A renowned biopharmaceutical company wanted to work with MathCo to address the issue of patient non-compliance through patient support program optimization. They wanted an exhaustive patient analytical dataset framework to understand which PSPs were leading to the highest levels of compliance. The client company also required a patient behavior data model capable of analyzing various types of data, such as past medicine intake and patient drop-off data, to surface patient behavioral patterns, barriers patients face during medical therapy, and the PSP impact measurement needed to improve patient outcomes. As such, we created a medication adherence analytics platform that could be extrapolated for use in various other business use cases across brands with minimal coding required.

Impact

  • Obtained quantified impact of different PSPs on patient behavior
  • Standardized PSP impacts
  • Created exhaustive datasets on patient info such as demographics and adherence
  • Delivered a one-stop solution for all patient-related explorations
  • Eliminated process complexity

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