A real-time clinical reasoning engine that extracts, validates, and structures medical facts from patient conversations as they unfold.
FactsR is a recursive fact-first reasoning system that transforms ambient clinical audio into structured, EHR-ready documentation through a multi-stage pipeline. As a consultation unfolds, it continuously identifies and surfaces structured clinical facts, then refines each fact through an AI-driven validation loop until it meets accuracy thresholds. Every extracted fact includes timestamps, confidence scores, and links back to the original conversation segment for full audit traceability. The system reduces documentation bloat by 65% compared to general-purpose AI while increasing clinical completeness by 13%. FactsR is delivered as a HIPAA- and GDPR-compliant API with JavaScript SDK support.
Ambient clinical documentation with real-time fact extraction
Reducing post-visit note editing
Embedding clinical reasoning into third-party health-tech applications
Structured data extraction from clinical conversations
Reduced clinical note bloat by 65%
Increased clinical completeness by 13%
Fewer post-visit documentation corrections
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