Scott Stevens

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AI Is Now Denying 1 in 4 Insurance Claims — Your Practice Needs a Game Plan

Remember when insurance denials were mostly annoying paperwork? Ah, the good old days — when a claim denial at least felt like a human somewhere might have skimmed the page before stamping “NOPE.”

Well, welcome to 2026, where insurers have discovered that if they let algorithms deny claims at lightning speed, they can squeeze the system even harder. And if you think insurance companies were tough to trust before… now they’re letting AI do the dirty work. What could possibly go wrong?

Spoiler: plenty.

Across healthcare, denial rates are climbing — and not slowly. Some plans are rejecting up to 20–25% of in-network claims. And hospital groups nationwide report the trend continuing upward, thanks to increasingly automated, increasingly opaque decision-making.

So if it feels like insurers are inventing new rules on the fly… you’re not imagining it.

Let’s break down what’s happening — and, more importantly, what your practice can do next.

Why Denials Are Surging (Hint: The Robots Have Entered the Chat)

1. “Algorithm-First” Is the New Normal

Insurers are funneling coverage requests through AI-driven systems before a person ever touches them — if a person touches them at all. Researchers warn these tools can “scale the flaws” of existing prior-authorization processes. If a broken workflow was bad at human speed, imagine it running at machine speed.

2. Decisions Are Getting Opaque

It’s hard enough to fight a denial when you know the reason. It’s impossible when the reason is:

“Denied due to policy guidelines.”

Translation: “Because we said so.”

Payers aren’t exactly eager to show their math, which means providers waste hours digging for the “why” before they can even start an appeal.

3. Denials Are Targeting Certain Services

Imaging, post-acute care, PT, behavioral health — these categories are getting hit especially hard. The result? Practices feel like the rules change weekly. Because… well, sometimes they do.

Practices Are Fighting Back — With Their Own AI

Here’s the good news: automation isn’t only for the insurers anymore.

In 2026, practices are using tech to:

  • auto-draft appeals
  • flag high-risk claims
  • improve documentation
  • reduce errors that invite denials

No robots replacing clinicians here — just robots helping clinicians push back.

A Practical Checklist for Surviving the Denial Era

If insurers are going to play hardball, your practice needs a playbook. And not a theoretical one — a weekly, operational, “we’re-doing-this-every-Tuesday” kind of playbook.

1. Treat Denials Like a Revenue Leak

Track everything by:

  • payer
  • procedure
  • provider
  • location

Tag each denial by reason: coding, eligibility, medical necessity, missing documentation.

Then, every week:

Report your top 3 denials causing the most rework time.

Not dollars — hours. Time is the real thief here.

As Jordon Comstock, CEO of BoomCloud, puts it:

“Denials hurt twice. You lose the money, and you lose the time it takes to chase it.”

2. Build a Documentation Minimum for High-Risk Claims

Most denials happen because something small was missing. Prevent that by standardizing:

  • clear diagnosis alignment
  • payer-specific medical necessity language
  • attachments (sent the first time, not after a “pending” limbo)

A little front-end discipline saves a lot of back-end pain.

3. Create an Appeal Playbook

Think of this as your “break glass in case of denial” folder:

  • 1-page templates for your top denial reasons
  • a 48-hour rule for initiating appeals
  • a simple escalation ladder: front desk → billing lead → payer rep → legal (if needed)

Why so structured? Because reversal rates on appeal can be surprisingly high — meaning the initial “no” wasn’t exactly well-considered.

4. Add a Revenue Stream That Doesn’t Depend on Insurance

This is the “stop letting insurers hold your cash flow hostage” step.

One practice implemented a $45/month membership plan and hit:

  • 1,400 members
  • $63,000/month in recurring revenue
  • $756,000 annually

And suddenly, PPO contract whims mattered a whole lot less.

“Insurance revenue is permission-based,” Comstock says.

“Membership revenue is predictable.”

Predictable sounds nice, doesn’t it?

5. Protect Patients From the Confusion Spiral

Patients don’t remember the CPT code. They remember feeling confused, misled, or stuck with a surprise bill.

So:

  • use plain-language scripts
  • give them two clear paths: appeal vs. self-pay
  • be transparent without blaming

Clarity preserves trust. Trust preserves case acceptance.

Why This Matters Now

2026 is shaping up to be a reckoning year for insurance AI.

As automation expands without clear rules or oversight, we’re seeing more denials, faster denials, and denials with fewer explanations. When the system won’t “show its work,” practices lose time, money, and stability.

Comstock summarizes it well:

“When a denial comes back with no clear reason, you’re not just fighting a decision — you’re fighting a system that won’t show its work.”

So the bottom line is simple:

  • Assume denials stay high.
  • Build a playbook now.
  • Protect the parts of your revenue that insurers can’t touch.

Because if insurers are going to let AI make snap judgments, then practices need processes that are just as fast, just as systematic, and — hopefully — a little more humane.

About the Expert Behind This Article...

Jordon Comstock is the Founder & CEO of BoomCloud, a SaaS platform that helps dental and healthcare practices build recurring revenue through patient membership plans and reduce dependence on traditional insurance models.


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