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Synthetic demo environment

One platform for medical coding, billing, and revenue cycle management.

MedTech Q connects coding, claims, denials, payments, AI-assisted coding, and client collaboration on one data model — built for hospitals, physician groups, and medical coding companies who are tired of stitching five tools together.

This deployment runs entirely on synthetic data — no real patient information.

app.medtechq.dev — Operations Portal

Billed Revenue

$482,110

Open Claims

128

Illustrative interface preview

Hospital
Medical Coding
AI Copilot
Quality Review
Claims
Billing
Revenue Intelligence
Client Portal
Executive Reporting

See it in action

The same platform your team and your clients actually use.

Search, code, and get AI-assisted suggestions in one place.

Unified search across ICD-10-CM, CPT, HCPCS, ICD-10-PCS, SNOMED CT, LOINC, and RxNorm, with AI Copilot suggestions surfaced inline.

Learn more about this module →
app.medtechq.dev — Coding Workstation
Search ICD-10-CM, CPT, SNOMED CT…
Submit QA
I10 — Essential hypertension
E11.9 — Type 2 diabetes
Z79.4 — Long term insulin use

AI Copilot

Suggests I25.10 based on documented history of CAD.

Illustrative interface preview

7

Medical Code Systems

100%

Operations Audit-Logged

6+

Configurable User Roles

1

Unified Data Model

Medical Coding Workflow

From new job to delivered, with QA built in

  1. New → Assigned

    A coding job enters the queue and is assigned to a coder.

  2. In Progress

    The coder works the chart with search, favorites, and AI suggestions.

  3. QA Review

    Submitted for QA — coding access alone does not include sign-off.

  4. Completed → Delivered

    QA approves and the job is delivered, ready to become a claim.

Explore Medical Coding

Revenue Cycle Workflow

Claim to cash, on one system of record

  1. Submit

    A claim is created from a delivered coding job and submitted.

  2. Resolve

    Accepted and paid, or denied and worked through appeal.

  3. Reconcile

    ERA/835 remittances are imported and posted against the claim.

  4. Follow up

    AR aging and a prioritized worklist keep nothing aging silently.

Explore Revenue Cycle Management

AI Workflow

AI-assisted, not AI-decided

  1. Configure

    Choose a provider — a local model with zero external calls, Anthropic, OpenAI, or Azure OpenAI.

  2. Suggest

    Coding suggestions surface inline as the coder works the chart.

  3. Decide

    The coder and QA reviewer remain the decision-makers, every time.

Explore the AI Coding Copilot

Why MedTech Q

What actually sets this platform apart

One data model, not four tools

Coding, claims, denials, and payments share one schema and one audit trail.

Separation of duties by design

Coders can't approve their own QA. Rule authoring and audit verification are Owner-only.

A tamper-evident audit log

Every write is hash-chained — provable, not just logged.

True multi-tenant isolation

Application-layer scoping plus an optional database-level Row-Level Security backstop.

AI on your terms

A local model with zero external calls, or connect your own provider — your choice.

Documentation that matches reality

What we publish is what our own engineering team relies on internally — no daylight between the two.

See MedTech Q on your own data.

A guided walkthrough of the coding workstation, claims lifecycle, and executive reporting — scoped to what matters for your team.