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Post launch analytics: Predicting patient progression based on the patient journey using Patient claims data

An Oncology team wanted to understand how many patients progress in the next line of treatment and plan the sales and marketing strategies around that disease progression.
  • Model predicted the patient’s disease progression
  • The client used this information to develop critical sales and marketing strategies
  • Developed the ideal patient journey
  • Identified factors & features affecting and enabling a patient’s journey and resulting in disease progression
  • Identified key patient segments based on the key events (Progressed, Stable/Non-Progressed, Emergency, Hospice, Deceased, etc)