Case Study

The Road to an Automated Clinical Document Landscape at Eli Lilly

How Lilly tapped into Generative AI capabilities with Yseop. Yseop is leading the way in content automation for regulated industries.

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Business Impact in Year One

hours of writing and reviewing time eliminated
reduction in medical review time
0 %
completed patient narratives using Yseop
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Each day that a new drug or vaccine gets to market sooner, it creates $1-3M in accelerated revenue.
Tim Coleman
Lilly, CIO of Medicine Development
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Yseop is leading the way in content automation for regulated industries with a human-centric artificial intelligence (AI) platform. Yseop acts as a copilot for analysts and writers, maximizing their efficiency and accuracy by generating reports and insights. With a suite of industry-specific applications and cutting-edge hybrid natural language generation (NLG) technology blended with symbolic, machine learning and large language model techniques, Yseop ensures that even the most complex content automation tasks are met with ease, scalability, and application security across the entire enterprise.


Pharmaceutical companies work against the clock to bring new drugs to market. To streamline the regulatory submission and reporting process, Lilly partnered with Yseop to generate accurate documentation, at scale, using artificial intelligence.


Before Yseop, 1 patient narrative for a clinical study report required at least 4 hours of data consolidation and cross-functional authoring. Lilly’s process was manual and resource intensive, comprising tedious quality checks, error-prone copying and pasting, and content modeled after hospital discharge notes rather than what ICH E3 requires.


Lilly partnered with Yseop to implement an automated process to draft patient narratives using natural language generation. By automating patient narratives, teams saw immediate value and could focus on more complex, scientific work. With the joint goal of bringing Lilly’s medicines to patients faster, Lilly and Yseop have additional pilot programs in place for other clinical documents.

Business Impact in Year One

  • Eliminated 10,000 hours of writing and reviewing time
  • Completed 2,300 patient narratives using Yseop and a new, streamlined process
  • Accelerated medical review by 200%
  • Produced machine-written draft patient narratives in less than a minute
  • For each routine patient narrative, saved 20 minutes of quality review time
  • For each complex patient narrative, saved 30 minutes of quality review time
  • Reduced third party organization spending on patient narratives by 53% compared to the previous year
  • Decreased chance of data entry errors
  • Increased compliance with regulatory expectations

The Results

Within the first 6 months of deployment, the new way of creating patient narratives significantly accelerated submission timelines. Lilly can now produce in seconds what used to take weeks. Each day Lilly uses this technology, the company moves a step closer to advancing life-saving medicines into the hands of those who need them.

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It used to take us a minimum of 4 hours to write 1 patient narrative. Now, it takes 4 seconds to write an unlimited number of them.
A member of Lilly’s scientific writing team
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