The Workflow

Upload a chart and get reviewable findings in minutes — then approve, correct, and export

1

Upload PDF

Upload visit documentation in PDF format. Your document appears in the dashboard queue.

2

Smart Extraction

Automated extraction identifies key visit information, diagnoses, and documentation patterns.

3

Suggestions in Dashboard

Evidence-backed suggestions appear in your dashboard for review, with status tracking from queued to processing to needs review.

4

Dashboard Review + Scoring + Sign-off

Review suggestions in your dashboard, prioritize using scoring, and sign off with full audit trail.

Technology That Works With Your Team

Our system handles extraction, code validation, and audit evaluation — but every output is designed for human review. Providers and coders stay in control of every decision.

  • Analyzes clinical documentation across all visit sections
  • Color-coded findings: red (action required), yellow (review), green (clean)
  • Revenue impact quantified per missed code
  • Audit scoring: 0-100 with pass/needs review/fail verdicts
  • Full audit trail: who reviewed, what changed, when signed off

Outputs require clinical/coding review; results may vary.

Request a Demo

Scoring + Feedback Loop

Upload → Automated review → score → actionable feedback → re-upload to improve → sign-off

How Scoring Works

Scoring acts as an attention/priority indicator—not a medical diagnosis. It highlights which cases need immediate review based on documentation completeness, potential opportunities, and compliance checks.

Feedback & Rationale

Every suggestion includes evidence-backed rationale to support review. See what was missed, why it matters, and what needs correction—all with source references.

The Improvement Loop

Fix documentation gaps → re-run → improve score → finalize/sign off. This self-serve workflow reduces back-and-forth and helps clinics improve documentation quality over time.

Suggestions are for review support. Final coding and clinical decisions remain with licensed professionals.

Medical coding priority scoring interface showing attention indicators for ICD-10 review

Example scoring view (illustrative).

Clinical documentation feedback showing missed ICD-10 codes with evidence-backed rationale and source references

Example feedback view (illustrative).