Integrated patient journey: Patient segmentation analysis for value demonstration

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:

Clarivate 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