Coding and Compliance: What Happens When Payers Use AI and You Don't?

 Nobody wakes up in the morning and sets out to code medical charts inaccurately (hopefully). But across healthcare environments where chart volumes outpace coder capacity and documentation quality varies across hundreds of providers, coding errors can become systemic. And systemic coding errors can quickly become compliance problems. 

That dynamic has always been true, but the stakes are rising. Payers are increasingly using AI to scrutinize claims, sometimes retroactively reviewing medical necessity on claims that were already approved and paid out. MDaudit's 2025 benchmark report lays it out in stark terms:

  • Payer audit at-risk amounts have risen 30% year over year
  • Outpatient coding-related denials climbed another 26% in 2025 after a 126% spike the year before
  • More than 25% of providers failed audits in both professional and hospital settings

For health systems and physician groups, the bar is pretty clear at this point: if you can't show why you coded something the way you did, you're exposed.

So when we talk about coding and compliance, we're really talking about whether your organization can code accurately, defend those coding decisions, and do both at the volume that modern healthcare requires. For most organizations, business as usual isn’t getting it done anymore.

 

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