Turn discharge summaries and clinical notes into accurate, audit-ready insurance-claim codes. Built on the Australian ICD-10-AM, ACHI, and ACS standards, with a confidence, rationale, and source quote on every recommendation.
Four capabilities that change how your coding queue actually moves
Multiple AI providers (Gemini, OpenAI, DeepSeek) vote on each code. Cluster-level agreement plus fail-closed safeguards on insufficient consensus mean fewer hallucinated codes reach the coder — and far fewer reach the payer.
Every code is stamped with a confidence breakdown, rationale, source-quote anchor, provider, model, and prompt version. Payer disputes and internal audits are answered in seconds — not days of back-and-forth.
Built for GCC clinical teams that switch languages mid-case. UI, coder workbench, exports, and audit logs all render natively in Arabic (RTL) and English (LTR) — same data, same audit trail, both languages.
Every query runs through a tenant-scoped manager — defence in depth. Coders, reviewers, payer auditors, and tenant admins only ever see their own data, even if a permission check is missed at the view layer.
Basic for everyday cases, Advanced for high-confidence consensus, Premium when reference grounding matters most
Single AI assistant — fast, low-cost, moderate confidence.
Multi-model consensus — high confidence, fewer rejections.
Reference-grounded coding for the highest-stakes claims.
Drop in the discharge summary or operative report as PDF or DOCX — or paste the text.
The engine extracts diagnoses and procedures and proposes the right codes with rationales.
Accept, edit, or reject each code in a two-pane workbench. Every action is captured in the audit trail.
Export the claim as Excel or JSON, ready for the insurance payer with a full audit trail attached.
Speed up the claim cycle and reduce rejections.
An AI assistant proposes — you approve, edit, or reject.
Fast verification with a transparent, immutable audit trail.