treatment adherence

Innovating Business Through Data: Part 7 – Treatment Adherence

Part 7: Treatment Adherence

This new series focuses on how Machine Learning, Natural Language Processing, and Robotic Process Automation are changing the face of business. Each post contain a specific use case, the business value derived, and the technology synopsis to achieve the outcome. 

The goal of Treatment Adherence is to create a strategy to identify members with low adherence to their treatment plan and a create value-based partnership with care-providers to improve outcomes. Ensemble machine learning techniques are used to predict a patient’s level of adherence.

Supervised Machine Learning models are combined with unsupervised models to predict patient-level adherence down to the month. Machine learning models are built in R, and Tableau is used to visualize insights.

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