Skip to main content

Clinical & Revenue Intelligence

Clinical Decision Support

Recommendations generated from the same encounter data coders see.

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

The Problem

Decision-support tools disconnected from the coding workflow generate recommendations nobody sees at the moment they'd actually be useful.

The MedTech Q Approach

MedTech Q's Clinical Decision Support generates recommendations from the same clinical analysis pipeline that drives coding and DRG grouping — surfaced where the coder and QA reviewer are already working.

Benefits

Why teams choose this module

Context-aware recommendations

Generated from the actual encounter data, not a generic reference lookup.

Shares the same pipeline

Runs alongside the Clinical Rules Engine and DRG Grouper in one analysis pass.

Feeds Revenue Intelligence

CDS output contributes to the documentation-quality and compliance scoring in Revenue Intelligence.

Workflow

How it works, step by step

  1. 01

    Generate

    A recommendation set is generated for the encounter being coded.

  2. 02

    Present

    Recommendations surface in context, alongside coding and clinical documentation.

Enterprise Capabilities

Built for enterprise operation

Permission-gated generation

Generating CDS recommendations is a specific, grantable permission.

Consistent with published rules

CDS results are invalidated and refreshed whenever the underlying Clinical Rules change.

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.