Utilization Pattern Analysis

Utilization Pattern Analysis


Our analytics assess dominant utilization patterns and how they relate to clinical characteristics. The analytics flag unexpected cases for further investigation.



  • Identification of dominant utilization groups through customized patient segmentation algorithm
  • Construction of predictive models linking clinical characteristics to expected utilization
  • Identification of unexpected cases via comparison between expected and actual utilization groups for each patient


  • Provider: enable management by exception by allowing focused investigations into significant unexpected practice variations
  • Payer: insight to help guide disease management program design and fraud detection