Patient Analytics

Case Study 6 -

Developed a model to predict patient discontinuation for an oral drug using specialty pharmacy data

Business Problem

Client wanted to improve patient adherence. They wanted to use the rich specialty pharmacy data to provide specific and actionable insight to the field teams to reduce patient discontinuations.

ProcDNA’s Approach

Prediction Algorithm

The ProcDNA team developed a prediction algorithm to estimate the risk of patient discontinuation based on several factors such as physician and patient profile, physician dose modification behavior, fulfilment trends seen in specialty pharmacy data

Decision Tree

We developed logistic and decision tree regression models using the number of patients discontinued (dependent variable) and different independent variables