What You Should Know:
– Corti, the leading infrastructure layer for building clinical-grade AI in healthcare, today announced the launch of FactsR™, a breakthrough real-time agentic reasoning system for clinical consultations. Designed with ambient documentation in mind, FactsR™ reduces general purpose AI driven “note bloat” by 65 percent, keeping records precise, relevant, and tightly aligned with the actual clinical conversation.
– By minimizing post-visit edits and transforming passive transcripts into active clinical intelligence, FactsR™ sets a new benchmark for ambient AI in healthcare – while unlocking the path to real-time decision support at the point of care.
FactsR by Corti: Transforming Clinical Documentation Through Real-Time, Recursive AI
FactsR is a modular, consumption-based API that delivers clinical-grade reasoning in real time. It is designed for seamless integration into healthcare applications, ensuring HIPAA and GDPR compliance while enabling developers to build secure, effective tools in under 30 minutes using SDKs available at docs.corti.ai. A self-hosted version for on-premise or sovereign cloud deployment will enter limited preview this summer.
At the core of FactsR is Corti’s recursive fact-first reasoning loop—a purpose-built AI engine that moves beyond traditional LLM pipelines retrofitted for healthcare. Unlike passive summarization models, FactsR actively surfaces, validates, and structures clinical knowledge live during conversations, making it more concise, accurate, and interactive.
Why Recursive AI Design Matters
Traditional ambient documentation tools rely on post-consultation transcription and summarization, leading to:
- Verbose, error-prone notes
- Up to 3 hours weekly spent by clinicians correcting documentation
FactsR introduces a live, clinician-friendly workflow through four key stages:
- Real-Time Fact Extraction: Identifies structured clinical elements—e.g., vitals, symptoms, medications—as the consultation unfolds.
- AI Feedback Loop: Each fact is refined via recursive logic until it is precise, complete, and contextually consistent.
- Clinician-in-the-Loop: Clinicians can verify or edit facts in real time, reducing post-visit adjustments and maintaining clinical oversight.
- EHR-Ready Output: Clean, relevant summaries are automatically generated, avoiding traditional “note bloat.”
Key Benefits
- Reduced Screen Time: Clinicians spend minutes, not hours, editing notes
- Improved Focus: Real-time insights support in-consultation decisions
- Transparent Audits: Each fact includes a timestamp, confidence score, and conversational reference
- Document Efficiency: Early trials show a 65% reduction in irrelevant content compared to general-purpose models
Validation & Impact
Published evaluations using the Primock57 benchmark show that FactsR:
- Increases clinical completeness by 13% vs. ambient scribes
- Reduces documentation bloat by over 65%
- Enhances workflow efficiency and clinician confidence
One early tester from a Danish regional hospital noted, “The shift to structured, recursive fact extraction stood out—it surfaces the right facts, not just the words, exactly what clinicians need to reduce cognitive load.”
By combining real-time reasoning with clinician-in-the-loop control, FactsR delivers a robust and future-proof approach to healthcare AI—focused on quality, usability, and precision at the point of care.
