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

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

Challenge

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.

Impact

Model predicted the patient’s disease progression
The client used this information to develop critical sales and marketing strategies

Solution

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)

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

Enquiries How can we help you?

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

Enquiries
How can we help you?