In the pharma industry specifically, Natural Language Processing (NLP) is beneficial in analyzing medical records and assisting in overall medical tests and research. It allows for personalized interactions and treatments, improved patient health awareness, identifying patients with critical needs, improved clinical documentation, and enabled predictive analytics.

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This project aimed to redesign an existing tool for unstructured text analysis by adding more than one way of providing data into the system, including speech recognition, and a more intuitive keyword analysis to help facilitate case intake validity assessment and scoring