Clinical Research Document Generation AI with InformGen

Best for: informed consent ai

Clinical and regulatory document generator with iterative write-review-revise loops.

Draft patient-facing clinical research documents from complex protocols with compliance-aware review steps.

InformGen is an AI-assisted drafting workflow for clinical research documents, especially informed consent forms written for patients. It is designed for high-stakes, compliance-sensitive settings and uses retrieval plus structured review steps (with human oversight) to improve regulatory compliance and factual accuracy. Compared with using a general-purpose model alone, InformGen aims to produce safer, clearer, and more compliant consent documents from complex clinical trial protocols.

Workspace files are stored encrypted server and are temporary. Whenever files are deleted after an analysis, we will notify you.
We recommend not uploading personally identifiable information or sensitive data.

Details

• License: MIT
• Citation: Wang et al. (2025). Compliance and factuality of large language models for clinical research document generation. Journal of the American Medical Informatics Association.
• Models: gpt-5-mini

Running this for a team? Book a demo or contact us.