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Clinical Document Automation

By producing first draft sections for human review, teams spend more meaningful time on high-value, scientific sections of reports

Yseop is changing how knowledge workers in the clinical space operate with intelligent content automation solutions. Discover how our AI-based, natural language generation (NLG) platform accelerates the time it takes for drugs to get to market and eliminates the risk of human error in the data review process.

Automation Packs Purpose-Built for the Clinical Document Landscape

Clinical Study Report (CSR)

Reduce CSR report writing times by an average of 30%

Clinical Trial Narrative (CTN)

Generate tables and narratives to fully automated patient safety narratives.

Summary Clinical Safety (SCS)

Module 2 summaries can be automated with integrated databases.

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Accelerate the Critical Path of Getting Drugs to Market

At Yseop, we understand the high-stakes writing and review process for medical writing teams. We standardize the text output in reporting to ensure consistent writing style, while all but eliminating the long, painstaking data interpretation process.

Our NLG platform is a no-code, fully configurable platform:

  • Develop customized intentions for specific reporting needs
  • Eliminate excessive review cycles by removing the risk of human error in reporting
  • By producing draft sections for human review, your team can spend more meaningful time on high-value, scientific sections of the report

Spend more time on research and innovation rather than review cycles and ensure compliance by streamlining your workflow with built-in regulatory knowledge NLG software.

The benefits of deep learning models

Impact: additional productivity gain + disruption in TTM gain due to full workflow automation

Life Sciences
Firms are Leading
AI Maturity

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We wanted to be certain and very accurate around what we produce in these documents that are submitted to health authorities. We want to deliver a draft through Artificial Intelligence that is 100% reliable and needs no further editing by human medical writers. That is what we have achieved with the Yseop collaboration.
Laetitia MarosseroDomain Lead and Wearables, Sanofi
Machine learning is a part of every aspect of Lilly’s future, from drug discovery to clinical trials to manufacturing to patient support. Yseop brings a novel approach to regulatory submissions and other reporting, and we see opportunities to bring Yseop’s technology to teams throughout the enterprise.
Diogo RauSenior VP & Chief Information and Digital Officer, Lilly
Equipped with instant insights and impactful visuals and texts, our finance teams can now jump into the next generation of data analytics.
Hélène DoréGlobal Chief Transformation Officer for Finance & Legal, L'Oréal
Yseop enables us to focus our discussions on action plans for the branch. Now we spend more time talking about sales performance rather than analyzing figures. It saves time for myself and my team.
Branch DirectorFrench Multinational Retail Bank
The Yseop engine produces this commentary in less than a second. We are just scratching the surface with this technology.
Director, Global Process OwnerProduct Control at a Tier 1 US Bank
With Yseop, we give clear explanations to our customers. The customer understands the decision and I have more time to focus on other opportunities. It's a real innovation!
Client BrokerInternational Insurance Company
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Case Studies

At the forefront of innovations and developments in AI and NLG.

Lill

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.

Generalizing business analysis access at Sanofi

Providing a summarized and dynamic sales analysis to business analysts and other key stakeholders at Sanofi.

Producing sales performance reviews at a French multinational retail bank

Providing a leading retail bank’s branch management with key performance insights and personalized action plans.
View More Case Studies

Frequently Asked Questions

Life Sciences: Clinical

Generative AI is a class of AI techniques that involve creating content, data, or output that is not directly copied from existing examples, but rather generated by the AI system itself from data and documents.

Yseop uses generative AI for content creation in regulated industries like life science and finance. We use several types of generative AI technologies and techniques depending on the type of information used as an input and the target output format (e.g. table, text, etc.)

Yseop Copilot is a powerful automation tool available to medical writers and financial services professionals, using LLMs for content generation in a secure and seamless way – all pre-configured for BioPharma. ChatGPT does not meet the requirements needed for regulated industries when it comes to compliance and accountability.

Natural Language Generation (NLG) is a subsection of Natural Language Processing (“NLP”). NLG software turns structured data into written narratives, writing like a human being but at the speed of thousands of pages per second.
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