How Insurance Companies Review Claims — June 2026

If you've ever submitted what felt like a perfectly coded, completely documented claim only to get it kicked back with a vague denial reason, you're not alone. Understanding how insurers actually review claims — not just the surface-level stuff, but what's really happening behind the curtain — can dramatically change how your team submits, documents, and appeals. And in 2026, with AI-driven claim scrubbing now standard at most major payers, this knowledge matters more than ever.

The First 72 Hours: Automated Scrubbing and Triage

Here's something most billing teams don't fully appreciate: a human being probably hasn't touched your claim for the first several days after submission. What has touched it is a rule-based algorithm, and increasingly, a machine learning model trained on millions of prior claims.

When your claim hits a payer's system, it goes through a multi-layered scrubbing process almost immediately:

• Eligibility and coordination of benefits checks — Is the patient actually covered? Is there another payer that should go first?


• Code-level edits — Do the procedure codes make clinical sense together? Are there unbundling issues or modifier problems?


• Medical necessity flags — Does the diagnosis support the procedure based on the payer's current LCD/NCD policies?


• Utilization pattern analysis — Does this provider's billing pattern look unusual compared to peers?

That last one is where things get interesting. Payers like UnitedHealth, Cigna, and Aetna have significantly expanded their predictive analytics capabilities. If your practice suddenly sees a spike in a specific CPT code — even a legitimate one — the algorithm notices. It doesn't mean you'll get denied, but it does mean closer scrutiny.

Practical tip: Run your own internal edits before claims go out. Most practice management systems have claim scrubbers built in, but they're only as good as your payer-specific rule libraries. Make sure those are updated quarterly.

What Happens When a Claim Triggers Manual Review

Not everything gets auto-adjudicated. High-dollar claims, certain procedure types (think complex surgical cases, durable medical equipment, or anything requiring prior auth), and providers flagged for pattern review will often land in a queue for human eyes.

This is where utilization management (UM) reviewers come in. These are typically nurses or other clinically trained staff — not physicians, unless the case escalates — working from coverage determination guidelines that are often proprietary. Here's what they're actually looking at:

Documentation completeness. Is the medical necessity clearly stated? "Patient has back pain" doesn't cut it for an MRI anymore. Reviewers want to see failed conservative treatment, specific functional limitations, duration of symptoms, and the clinical rationale for why imaging is needed now.

Prior authorization compliance. If auth was required and wasn't obtained, that claim is almost certainly going to denial regardless of medical necessity. This is a process failure, not a clinical one — and it's 100% preventable.

Coding and documentation alignment. The diagnosis codes need to tell a coherent story that matches your notes. A common red flag: providers who document a visit thoroughly but then select codes that don't reflect the acuity they described. That mismatch creates suspicion.

Real-world example: A cardiology practice I'm familiar with was seeing a 30% denial rate on stress echocardiograms. The procedures were appropriate and well-documented — but the ordering diagnosis codes weren't matching the payer's preferred sequencing. A simple change to how their EHR auto-populated the primary diagnosis code dropped denials to under 8% within two billing cycles.

The Appeals Process: Where Most Practices Leave Money Behind

Roughly 60-70% of denied claims are never appealed. That's a staggering amount of revenue walking out the door. And here's the frustrating part: appeal overturn rates at first-level review typically run between 40-60% depending on the payer and denial type. That means nearly half of what you appeal — you win.

The reason most practices don't appeal more aggressively is bandwidth. Writing a solid appeal letter takes time, requires clinical language, and needs to reference the payer's specific coverage criteria. That's a lot to ask of an already stretched billing team.

A few things that actually move the needle on appeals:

• Always request the specific denial reason in writing, including the clinical rationale and the policy or guideline the payer cited. You're entitled to this.


• Match your appeal language to their language. If their denial cites a specific LCD criterion, your appeal should address that criterion directly — almost verbatim.


• Include peer-reviewed literature when appropriate. For complex clinical denials, attaching one or two supporting studies shows you're taking the appeal seriously and makes it harder for reviewers to rubber-stamp a denial.


• Know your deadlines. Appeal windows vary from 60 days to 180 days depending on payer and plan type. Missing them is an unforced error.

On the tools side — there are now AI-powered appeal generators that can draft clinically appropriate, payer-specific appeal letters in minutes based on the denial code and clinical context. If your team is drowning in denials, it's worth evaluating those options seriously.

The 2026 Landscape: What's Changed and What's Still Broken

A few developments worth knowing about as we move through 2026:

Payer AI is more aggressive, but more visible. Following regulatory pressure and several high-profile legal cases, major insurers are now required to be more transparent about when AI is used in claim adjudication decisions. That's meaningful — it gives you grounds to challenge algorithmically generated denials more explicitly.

Gold-carding is expanding. More states have enacted gold-carding laws that exempt high-performing providers from prior authorization requirements for certain procedures. If your state has this law and you qualify, make sure you're actually using it. Many practices aren't.

Preventive care coding is still a mess. The ongoing confusion around preventive vs. diagnostic visit billing — particularly for Medicare Advantage plans — continues to generate unnecessary denials. Make sure your front desk is educating patients on what to expect at the time of scheduling, and that your coders understand how each MA plan handles this differently.

Making This Work for Your Practice

Understanding payer review processes isn't just an academic exercise — it directly affects your collections, your staff workload, and honestly, your sanity. Here's where to start:

• Pull your denial report by denial code this week. What are your top five denial reasons? That tells you where the leak is.


• Audit five to ten recently denied claims in detail. Are the denials legitimate? Are they documentation issues, coding issues, or process failures?


• Set a policy for mandatory appeal on any denial above a certain dollar threshold — $150 is a common floor, but calibrate it to your practice size.


• Talk to your payer reps. They exist for a reason. A good provider relations contact can clarify coverage policies before you submit, not after.

Claims management isn't glamorous work. But practices that treat it strategically — rather than reactively — consistently outperform their peers on clean claim rates and collections. The insurers have invested heavily in technology to protect their bottom line. It only makes sense to invest equally in understanding how that technology works.