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Case Study: Using Natural Language Processing at Novo Nordisk to generate actionable insights from real world data

Novo Nordisk wanted to identify healthcare market trends and detect patterns in clinical trial protocol deviations, patient sentiment, compliance, routines, behaviors, and treatment satisfaction and outcomes, from disparate RWD sources such as call center feeds and information from medical liaisons and healthcare providers. Manual scanning and extraction processes are labor intensive and inefficient, and Novo Nordisk wanted a better solution—preferably automated, scalable, and cloud-based.

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