High Growth Pharma Company

Fresh Gravity was engaged by one of the fastest-growing pharmaceutical companies in the world to analyze the performance of its flagship drug in a tightly regulated environment surrounding drug adherence.

Problem

The client’s objective was to predict which patients will adhere to their drug regimens, and what success factors/pitfalls influence success. The client had also tried several predictive modeling techniques in the past, but none were able to answer the key questions.

Solution

Fresh Gravity trained the model on key predictive feature data from patients, prescribers, and payers. This modelling approach was the appropriate method of creating an anomaly detection tool because it recognized and learned from the sequential pattern data of patients going through a workflow.

Impact

The solution identified anomalous patients and patient cohorts that are at risk of lapsing from drug adherence. They provided interpretability to the models that inform the pharma company which aspects of the process are the sources of most problems.