CONTEXT 

One of our Client with an oncology portfolio requested to improve market penetration of their new twice-a-month injectable product. Though the product would be more costly, the client was facing challenges from government agencies for comparative cost-effective analysis that shows real-world data (RWD) driven evidence (RWE) to show the value to patients and payors.

RESOLUTION

Our Healthcare Data Scientists team identified the right patient population, parameter of analysis, and right statistical model. Then, our team applied modelling using various advanced tools like SAS, Pythons, SQL, etc., and a large healthcare payor dataset. The team generated various statistics to produce reports that can easily convey comparative analysis.

RESULT

Based on the reports generated by our team, real-world data-based evidence (RWE) generated can show a cost-effective analysis comparison between the twice-a-month treatment protocol vs the market's widely accepted treatment. Those analysis results could help our client to gain deeper penetration of the market.

SCOPE

To generate Real World Evidence (RWE) using Real-World Data (RWD) to perform cost-effective analysis for our client.

SOLUTION

Our expert team performed statistical modeling using SAS, SQL, R, and Python programming languages to generate various reports supporting our client's needs.

DELIVERY

The solution was delivered in phases over a five-month scheduled delivery. The outputs were of high quality and timely.