Eli Lilly automated clinical patient narrative drafting with Yseop's natural language generation.
Writing one patient narrative for a clinical study report took at least 4 hours of data consolidation and cross-functional authoring. Lilly deployed Yseop's NLG platform to draft narratives automatically. In year one the page reports 10,000 hours of writing and review time eliminated, 2,300 narratives completed, drafts in under a minute, and a 53% cut in third-party spending.
Yseop is a French generative AI and natural language generation vendor, used by large pharma to draft clinical study reports, patient narratives and regulatory documents
This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.
Published by Yseop on its own site — read the original case study on yseop.com ↗
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