FactsR™ Extraction

Learn more about ways to extract and leverage FactsR™

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.

Real-time

Extract facts in real-time as the ambient conversation unfolds.

Asynchronous

Extract facts via REST, independent of a WebSocket audio stream, from a text input.