Case study: How Agios uses text mining for automated identification of potential drug safety events

This case study outlines how Linguamatics NLP solution fastened the safety monitoring processes of Agios Pharmaceuticals.

Summary

Agios monitors all adverse events (AEs) that occur throughout its clinical trials, and wanted to improve support for clinical safety teams in the identification and understanding of serious adverse events (SAEs) in clinical trial participants. Serious events are reported using a standard form, the SAE Report Form. Manual data extraction from these SAE forms is slow and inefficient. Therefore, Agios used Linguamatics I2E to boost its safety monitoring processes.

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