Yseop speeds up regulatory clinical documentation writing using Amazon Bedrock
Yseop provides a software workflow that converts structured and unstructured data into drafts of critical regulatory documents, including clinical study reports, patient narratives, and clinical summaries. The solution is built on Amazon Bedrock with support for Anthropic Claude 3.5 and uses AWS infrastructure for secure deployment. Medical writers and domain experts review and finalize the AI-generated drafts to preserve regulatory compliance and statistical accuracy.
Reported outcomes
10 hours
timeTime & speed
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1Regulatory document automation
- 2Clinical documentation
- 3Human-in-the-loop AI
- Regulatory and clinical documents for drug approvals take weeks or months to prepare and require strict formatting and accuracy.
- Medical writers spend substantial time assembling information from disparate sources while preserving clinical and statistical fidelity.
- Use Amazon Bedrock as the backbone for document drafting.
- Convert structured and unstructured data into precise document drafts for regulatory submission.
- Keep humans in the loop for review and approval before regulatory submission.
- Cut document drafting from months to weeks.
- Reports that once took four hours now take four seconds with Yseop's AI solution.
- Up to 10,000 hours of writing and review time were eliminated in the first year.
Architecture
Yseop's workflow uses Amazon Bedrock and Anthropic Claude 3.5 to draft structured regulatory documents from structured and unstructured data, deployed on AWS infrastructure with a human-in-the-loop review process where medical writers validate content before submission.
Sources & evidence1
AI-generated summary. Verify important details with the linked sources before relying on this case.
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