Evaluation and management

E&M Coding

Bring the encounter back to the evidence.

AI-assisted E/M documentation review and coding support.

WORKFLOW INTELLIGENCEA review lens examining a clinical encounter notebook
Illustrative AI artwork · not a product screenshot

THE EVERYDAY CHALLENGE

Bring the encounter back to the evidence.

E/M review becomes difficult when the work documented in a visit is spread across a long note. Reviewers need to understand the encounter, identify relevant evidence, and resolve ambiguity before a coding decision is finalized.

E&M Coding supports documentation review for evaluation and management encounters. Its role is to help reviewers work through the record and assess coding considerations. The final selection should reflect the documented service, applicable guidance, and qualified reviewer judgment.

A PRACTICAL WORKFLOW

From the first review
to the next action.

Illustrative workflow. Your implementation and responsibilities are agreed with QBotix.

  1. 01

    Review the encounter documentation

  2. 02

    Examine supporting clinical evidence

  3. 03

    Resolve coding questions

  4. 04

    Finalize through qualified review

THE WORKING GOAL

A documentation-led E/M review with clear attention to unresolved questions.

BUILT AROUND YOUR TEAM

Who it is for.

Professional-fee coders, coding auditors, and clinical documentation teams.

Coding →

BEFORE YOU BEGIN

Make the scope concrete.

Discuss your current systems, available information, review process, and intended users. Confirm integrations, access controls, data handling, and acceptance criteria before rollout.

No outcome figures or universal integration claims are implied. The demonstration should establish what fits your environment.

QUESTIONS, ANSWERED

A little more clarity.

Can AI replace the final E/M coding review?

AI assistance does not remove the need for qualified review. Code selection depends on the encounter documentation and applicable coding and payer requirements.

How do we evaluate E&M Coding for our team?

Bring a description of your workflow and its bottlenecks to a QBotix discussion. Use a demonstration to confirm available features, integration requirements, review responsibilities, and deployment scope. Do not send patient information through the website.

CONTINUE EXPLORING

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Explore HCC Coding ↗
02Q.ScribeClinical documentationAI scribing, visit notes, and medical coding support.
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Q.Scribe brings AI scribing, visit notes, and medical coding into a connected documentation workflow. The emphasis is on helping teams prepare work for review while keeping the clinician accountable for the final record. Capture methods and integration requirements should be confirmed during a demonstration.

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Keep the next step in cancer care in view.

OncoAuth brings attention to the authorization workflow: what has been requested, what is still pending, and which cases need follow-up. It gives oncology operations teams a focused starting point for reviewing authorization work without treating an AI suggestion as a payer decision.

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LET’S MAKE WORK FLOW

A better workflow
starts with a conversation.

Explore your use case ↗