The Challenge:

A life sciences company sought to gain a granular understanding of coronary artery disease patients in order to inform its value argument around a diagnostic imaging modality.

Approach:

Decision Resources Group assembled a team of experts to:

  • Define initial patient segments according to relevant clinical practices
  • Identify additional potential criteria for patient segmentation using machine learning
  • Refine patient segments to include all factors impacting downstream utilization
  • Execute patient journey analysis, following patients pre- to post-diagnostic test
  • Perform comparative analysis on post-test utilization for matched
    patient cohorts

Solution:

The results enabled the client to evaluate downstream effects of each test, and confirmed their hypothesis: that some patients respond better to certain tests, and demonstrate lower downstream utilization as a result

 

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