When medical coding software can code a chart in seconds, a fair question arises: who’s checking the work? That’s where autonomous medical coding and auditing services by Gebbs come in. AI reads clinical documentation and assigns codes, and an audit layer reviews those codes for accuracy and compliance. Think of it as a fast first pass paired with a careful second look. Below, we’ll cover how AI coding errors differ from human ones, what a smart audit cycle looks like, and why tracking the cause of each error matters.
How are AI Coding Errors Different from Human Ones?
Here’s something that is not discussed enough. A person’s coding mistake usually shows up in a handful of charts. When an engine misreads a pattern, though, the same mistake can repeat across every similar chart until someone catches it.
|
Factor |
Human Coding Errors |
AI Coding Errors |
|---|---|---|
|
How they show up |
Scattered, chart by chart |
Repeated across similar charts |
|
Common causes |
Busy queues, unclear notes |
A misread pattern or an outdated rule |
|
Best way to catch them |
Random sampling |
Targeted, pattern-based reviews |
|
Usual fix |
Coder education |
Rule or engine updates |
What Does a Smart Audit Cycle Look Like?
1. Pick the right sample: Focus on high-risk charts, new services, and recent rule changes.
2. Batch similar charts: Grouping them helps reviewers spot repeating issues faster.
3. Review and tag: Record why each error happened, not just what the correction was.
4. Report: Share findings through scorecards and dashboards that leaders can act on.
5. Educate: Send the lessons back to providers, coders, and the engine itself.
Why Does Tagging the Cause Matter?
A corrected code fixes one claim. Knowing why it was wrong may prevent the same issue next month.
Three Questions to Ask About Every Error
• Was the documentation unclear or incomplete?
• Was a coding rule outdated or applied the wrong way?
• Did the engine misread something in the record?
GeBBS Healthcare Solutions: Bringing Audit Intelligence to Every Chart
At GeBBS Healthcare Solutions, we combine coding expertise with AI-enabled coding audit technology. Our iCodeONE software offers an interactive coding audit dashboard, built-in workflow, detailed scorecards, and reporting for both facility and professional fee records. Its autonomous review uses a dual-level coding and review process, while denial prediction and analytics may help you spot risk earlier. iCodeONE works alongside iCode Assurance and iCode Workflow, and it can be customized to fit your workflow and reporting needs. We also offer HIM Solutions, Patient Contact Solutions, Extended Business Office services, DME and HME revenue cycle management, Cancer Registry Services, and Risk Adjustment HCC coding. Request a consultation with us today, and let’s talk about strengthening your coding audits.
