How Tech-Powered Claims Adjudication Works

Key Takeaways

• Manual adjudication processes are inherently error-prone: the American Medical Association (AMA) has found that 1 in 5 claims is processed inaccurately.
• The fix isn't just faster humans. It's a combination of automated rules-based adjudication, properly configured benefit logic, and expert oversight at the exception layer.
• Our adjudication quality benchmark is greater than 99%, achieved through ClaimsPro, our in-house tech-powered claims adjudication platform.

Claims adjudication sits at the financial center of every health plan, third-party administrator (TPA), and managed care organization. Get it right, and providers are paid accurately and on time, members receive correct explanations of benefits (EOBs), and the plan's administrative costs stay in check. Get it wrong, and the consequences multiply fast.

A denied claim doesn't just disappear. It triggers a review cycle, typically multiple rounds, each one consuming time from the provider's billing staff and the plan's adjudication team. Multiply that across a plan processing hundreds of thousands of claims annually, and the administrative drag becomes significant. When a claim that should have been paid gets denied, the cost of correcting that error falls on everyone involved.

From a payor's perspective, adjudication errors create overpayment exposure, audit risk, and operational overhead. Inaccurate claims management, improper coding, duplicate billing, and payment for services not covered under the plan's benefit structure all contribute to financial leakage that compounds quietly until it doesn't.

This is not a problem of ambition. Most plans know what good adjudication looks like. The breakdown happens in execution, specifically in the gap between what the benefit rules say and what the adjudication system actually does.

Why Manual Adjudication Fails at Scale

In 2009, the AMA found that 1 in 5 medical claims is processed inaccurately, leaving providers receiving lower or incorrect reimbursements for services they've already delivered.

That's a 20% error rate, and it's structural. Manual adjudication means claims examiners reviewing individual claims against plan benefits, CPT codes, modifiers, place-of-service rules, and payer-specific policies, all at high volume. A well-trained examiner will still make different decisions at 4 PM on a Friday than they do Monday morning. At scale, that inconsistency shows up as a pattern. Errors delay payment, trigger appeals, and add administrative cost as staff work to correct and resubmit claims.

The other problem is configuration. Many plans and TPAs have benefit rules that exist in documentation but haven't been implemented in the adjudication system. Claims that should auto-adjudicate instead go to manual review, driving up handling time and introducing inconsistency.

What Tech-Powered Adjudication Actually Means

Tech-powered adjudication isn't a buzzword. It means two specific things working in combination.

1. Configured Benefit Logic

Before any automation can work reliably, the benefit rules need to be properly built into the system. This means CPT codes, modifiers, place-of-service requirements, prior authorization flags, and plan-specific coverage rules all implemented as system logic, not just referenced in a manual.

This is where many plans and TPAs underinvest. Automating a process that has poorly configured benefit logic doesn't produce better results. It produces the same wrong results, faster.

2. Automated Rules-Based Adjudication

Once the benefit logic is correctly configured, rules-based automation can handle the bulk of claim volume without human review. Straightforward professional claims, where the code is correct, eligibility is confirmed, and benefits apply, move through the system automatically. This creates headroom for experienced examiners to focus on complex and exception cases, where their judgment actually adds value.

The result is a system where automation handles volume and people handle nuance. That's a materially different operating model from one where every claim touches a human reviewer regardless of complexity.

HOM's Approach: ClaimsPro in Practice

At HOM, we built ClaimsPro, our in-house tech-powered claims adjudication platform, specifically for health plans, TPAs, and managed care organizations that process high claim volumes across varied plan types. Here's what it looks like in operation:

• Rules-based adjudication aligned with CMS and plan policies: Every claim runs through configured benefit logic that reflects the plan's specific rules, not generic adjudication defaults. This is the most important step, and it's where most of the accuracy improvement happens.
• Unified handling of electronic and paper claims: Electronic and paper claims run through a single adjudication workflow, which eliminates the parallel processes (and inconsistencies) that typically come with mixed-format claim volumes. We process 500K+ electronic claims and 100K+ paper claims annually.
• Expertise across Medicare Advantage, Medicaid, Dental, Hearing, and Hospice: Different plan types have meaningfully different adjudication logic. Our team covers all of these, and our platform is configured to reflect each plan's benefit structure.
• Flexible configuration for complex benefit structures: When plan rules are unusual, layered, or changing, the system needs to flex without requiring a full rebuild. ClaimsPro is designed for this.

The result: adjudication quality greater than 99%, an average auto-adjudication rate of up to 85%, and a claims processing TAT of 4 days, down from 9.

Case Study: 75% Faster Adjudication for a US-Based TPA

A third-party administrator (TPA) with 10K+ lives was processing 500,000 to 700,000 claims annually. Their process was entirely manual. Benefit rules had not been implemented in their system, so every claim required a human reviewer. Handling time per claim: 10 to 15 minutes.

We started by building benefit rules based on CPT codes, modifiers, and place of service for each plan. Those rules were implemented in the client's system. The immediate effect was that a significant portion of professional claims began auto-adjudicating entirely. For claims that still required validation, processing time dropped to under 5 minutes.

The results:

• 75% reduction in adjudication handling time.
• 525 hours saved per month.
• 95% fewer errors.
• 35% lower manual intervention.

This wasn't the result of simply working harder. It was the result of fixing the configuration problem that made manual review unavoidable in the first place.

The numbers above reflect what happens on the payor's side of the transaction. But adjudication quality has direct consequences for the providers submitting those claims.

What This Means for Providers on the Other Side

Claims adjudication isn't only a payor problem. Providers care deeply about what happens after they submit a claim. Slow adjudication means slow payment. Inconsistent adjudication means disputes and rework. A plan that runs tight, accurate adjudication pays providers on time and at the correct rate, which directly affects provider satisfaction and network retention.

This is why the TAT metric matters. Four days from submission to decision is meaningfully different from nine, for the plan's administrative workload and for the provider's cash flow. Getting there isn't about speed for its own sake. It's about having a process clean enough that most claims don't need human intervention at all.

The Compliance Layer

Adjudication quality is inseparable from regulatory compliance. Claims processed incorrectly create audit exposure. For Medicare Advantage plans, the consequences of adjudication errors can include CMS payment clawbacks and Risk Adjustment Data Validation (RADV) audit findings.

Our adjudication processes are aligned with CMS and HHS standards. Our operations are ISO 27001 and ISO 9001 certified. We train on HIPAA, ISMS, and quality management system (QMS) standards, and our physical floor security protocols meet the requirements for handling protected health information at scale.

If your plan or TPA is carrying a claims backlog, dealing with inconsistent auto-adjudication rates, or struggling to configure benefit logic that reflects your actual plan rules, we'd like to walk through what we can do for you. Contact us now. 

FAQs

1. What is claims adjudication in healthcare? 

Claims adjudication is the process by which a health plan or TPA reviews a submitted claim and determines whether to approve, adjust, or deny it, based on the member's eligibility, the plan's benefit rules, coding accuracy, and medical necessity. The decision determines how much (if anything) the provider gets paid for the service.

2. What is auto-adjudication, and why does the rate matter? 

Auto-adjudication is the percentage of claims that the system can process and decide without human review. A higher auto-adjudication rate means lower handling time, lower administrative cost, and faster payment to providers. It's achievable only when benefit logic is correctly configured in the system. Plans with poorly configured rules end up routing claims to manual review that should be straightforward.

3. Why do so many claims get denied even after prior authorization? 

Prior authorization and claims adjudication are separate processes with different rule sets. A claim can receive prior authorization and still be denied at adjudication if the CPT code, modifier, place of service, or documentation doesn't match the authorized service. This is one of the most common sources of unexpected denials, and it's largely preventable through tighter pre-submission validation.

4. How does technology reduce adjudication errors without replacing human oversight?

Technology handles the predictable portion of claims, those where the benefit logic, eligibility, and codes are all clean. Human reviewers handle the exceptions, the edge cases, the contested decisions, and the complex benefit structure questions. This combination is what produces both scale and accuracy. Pure automation without expert oversight misses nuance. Pure manual review doesn't scale.