LucidClaim exists to make clinical coding faster, more accurate, and defensible — so billing teams spend less time on manual rework and more time on analysis that protects revenue.
We use AI to significantly increase the efficiency and effectiveness of revenue cycle operations — re-purposing billing staff effort from manual coding tasks to analytical work that catches denials, captures HCC revenue, and keeps claims audit-ready.
Built around psychiatry clinical notes, CPT psychotherapy add-ons, MDM rules, and the denial patterns that hit mental health practices hardest.
AI proposes codes and flags risk; credentialed coders review every verdict. Technology accelerates experts — it does not replace them.
HIPAA and SOC2 compliant Snowflake environment. Full audit trail on every AI output, human override, and reprocess event.
MVP live on Snowflake Cortex and Claude Opus 4.5 — deployed where healthcare data already lives, not in a disconnected black box.
LucidClaim combines clinical coding expertise with enterprise data engineering and healthcare financial operations — the mix required to ship AI that actually works in production billing workflows.
Snowflake Cortex pipelines, denial-prevention prompt engineering, HCC risk scoring, and analytical views that track cost and quality per note.
Product strategy grounded in real clinical workflows — from note ingestion through coder review queues and verdict submission.
Healthcare billing compliance, revenue cycle management, and integration with accounting and payer requirements.
Architecture that handles batch loads, role-based access, and enterprise multi-provider deployments as practices grow.
Request a demo and we'll walk through the platform on a real clinical note.
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