Case Study: Eli Lilly automates clinical patient narratives with Yseop

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Preview of the Eli Lilly Case Study

Eli Lilly cuts patient narrative writing time by 99% with Yseop

Eli Lilly faced a manual and resource-intensive process for creating patient narratives for clinical study reports, which required at least four hours of data consolidation and cross-functional authoring per narrative. To streamline this and bring new drugs to market faster, the pharmaceutical company partnered with vendor Yseop to implement an automated solution using its natural language generation technology.

By automating the drafting of patient narratives, Yseop's solution enabled Lilly to produce machine-written drafts in seconds instead of weeks. The results were significant, including the elimination of 10,000 hours of writing and review time, a 200% acceleration in medical review, and a 53% reduction in spending on third-party narratives. This allowed Lilly's teams to focus on more complex scientific work and significantly advanced their submission timelines.


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