Learn about the differentiating factors and research fuelling FactsR™ here. This guide is a more hands-on API guide.
Purpose and Behaviour of FactsR™
Rather than summarizing the full conversation in one go, FactsR breaks the workflow into four core steps:1
Extract
The Corti LLM pulls out clinically relevant facts.
2
Refine
Each fact is automatically evaluated along medically-relevant criteria and improved through an agentic feedback loop to ensure accuracy, structure, and clinical relevance.
3
Human Review
Clinicians can quickly review, discard, or adjust facts. This design keeps clinicians in control, ensuring that AI augments rather than replaces clinical judgment.
4
Compose
Generate the final, EHR-ready document using only validated facts, structured according to standard formats like SOAP or other formats facilitated via custom templates.
How to extract FactsR™
Facts can be extracted in both a real-time and asynchronous workflow. Click on the cards to learn more…