Key Takeaways

• Claims processing spans the entire lifecycle of healthcare RCM, from patient intake to final payment, not just a payer's yes-or-no decision.

• Submission and adjudication are two separate jobs in healthcare claims processing: providers control submission, payers control adjudication, and most breakdowns happen when teams treat them as one.

• Rejected, denied, pending, and underpaid are four distinct outcomes once a healthcare claim is processed by a payer, and each demands a different fix, not a generic follow-up.

• The majority of healthcare claim denials trace back to one upstream gap: a missed eligibility detail, a mismatched authorization, or documentation that doesn't hold up.

• Basic healthcare claim scrubbing checks for completeness; payer-aware validation checks whether a specific payer will actually reimburse the claim as written.

• Automating every healthcare claim isn't the goal. Routing only ambiguous or high-risk claims to a human reviewer is what actually reduces claim rework.

• Trustworthy AI in healthcare claims processing shows its reasoning, flags low-confidence cases, and keeps a human in the loop before submission.

• CombineHealth is built for healthcare claims processing end-to-end, with AI agents that cover eligibility, coding, billing, denials, and appeals, and cite the policy or documentation behind every decision.

Denial rates at U.S. hospitals and practices commonly sit between 10% and 15%, and most of that lost revenue traces back to a handful of preventable gaps earlier in the workflow. A patient checks in, insurance gets verified, the visit happens, and a claim quietly moves through coding, billing, and payer review before the provider sees a dollar.

When that journey breaks, it's rarely one big mistake. Often, the culprit is a small upstream gap that only surfaces weeks later as a denial or an underpayment. For revenue cycle teams, that denial means hours of rework, additional man-hours, and stuck cash flow that's hard to forecast.

In this guide, we'll cover the steps involved in healthcare claims processing, what separates a rejected, denied, pending, and underpaid claim, why claims get delayed, and how automation fixes it.

What Is Healthcare Claims Processing?

Healthcare claims processing is the complete lifecycle a medical claim moves through, from patient intake and clinical documentation to payer adjudication and final payment. It spans two connected workflows: 

1. Everything the provider controls before submission
2. Everything the payer evaluates after receiving it

A healthcare claim itself is a structured request for payment. It carries details like:

• Patient and subscriber details
• Provider and facility identifiers
• Diagnosis and procedure codes 
• Dates of service
• Charges tied to each line 

Every downstream decision, paid, denied, or pended, comes down to whether these elements are accurate and whether they satisfy the payer's specific rules.

Who Is Involved in Processing a Healthcare Claim?

A claim passes through several hands before it's resolved, and each one adds information, catches errors, or moves the claim forward.

• Patient provides insurance and demographic details
• Provider and clinical documentation team documents the encounter
• Medical coder translates the encounter into billing codes
• Medical biller/revenue cycle team builds and submits the claim
• Practice management system/EHR houses the data and generates the claim file
• Clearinghouse validates formatting and routes the claim
• Payer adjudicates the claim
• Denial and A/R team follows up on anything unpaid or rejected

The flow moves in one direction, then loops back when something goes wrong: 

patient encounter → provider workflow → clearinghouse → payer adjudication → remittance/payment → provider follow-up.

What Are the Steps in Healthcare Claims Processing?

1. Patient Registration and Insurance Eligibility Verification

Patient registration and eligibility verification involves gathering their accurate demographics and insurance details: name, subscriber ID, payer, and plan information. 

But confirming a patient is "active" with a payer doesn't mean the specific service is covered. Clearinghouse eligibility data can be incomplete or outdated, especially for facility-level or service-specific benefits. 

A more reliable check verifies the policy's effective date, coverage status, termination date, and whether the specific service is covered, not just whether the plan shows active or inactive.

CombineHealth's medical billing platform automatically checks policy effective date, coverage status, traditional Medicare status, termination date, and hospital- or service-level benefits using clearinghouse data and payer portals like Availity or Stedi when deeper verification is needed.

CombineHealth Case Study: One hospital group saw eligibility verification run 80% faster after automating this layered check.

2. Prior Authorization and Referral Checks

Before the claim is created, someone needs to confirm whether the planned service requires authorization or a referral. Requirements vary by payer, plan, and site of service, so a rule that applied last month may not apply today.

That authorization then has to match the patient, provider, service, site, and date exactly. A mismatch on any one of these is one of the most preventable causes of denial: the service was approved, but the claim doesn't reflect the approval correctly.

3. Medical Coding

Medical coding translates a patient encounter into ICD-10-CM, CPT, and HCPCS codes, along with modifiers, diagnosis-to-procedure linkage, sequencing, and medical necessity justification. Accuracy is evaluated at the claim-line level, not just the chart level; one wrong modifier can trigger a denial even when the rest of the claim is correct.

A technically complete claim can still fail when the documented diagnosis, procedure, E/M level, modifier, or sequencing doesn't support the line submitted.

CombineHealth Case Study: In a 15-day parallel study across more than 1,000 emergency department charts, Amy, CombineHealth's medical coding platform, was evaluated alongside expert coders and delivered 50% faster turnaround while surfacing five times more documentation gaps.

4. Clinical Documentation and Charge Capture

The medical chart needs to support the medical necessity of the medical codes assigned in the claim. This step records the services performed, but its real function is evidentiary; it's what a coder relies on to select the right codes and what a payer reviews if medical necessity is ever questioned.

Missing specificity or attestations don't just slow down coding. They weaken the claim's ability to withstand a payer's medical necessity review later, and gaps caught here are far cheaper to fix than gaps caught after a denial arrives.

5. Claim Creation and Payer-Aware Validation

Basic claim scrubbing checks whether a claim is technically complete. Payer-aware validation asks a different question: does the claim reflect the rules and behaviors that affect reimbursement for this specific payer? That distinction is where most avoidable denials get caught before they happen.

CombineHealth’s Mark generates claims and applies payer-specific validation automatically.

CombineHealth Case Study: In one anesthesia medical billing example involving a group of more than 100 providers, the AI-powered medical billing platform produced 150 claims within minutes while applying the correct modifier logic throughout.

6. Clearinghouse Submission and Front-End Acceptance

The clearinghouse checks formatting, sends acknowledgments, and routes the insurance claim to the correct payer, standardizing the claim format and confirming the payer actually received it.

A clearinghouse rejection isn't the same as a payer denial. It means the claim never made it to adjudication at all, usually because of a formatting or data issue, and it needs correcting and resubmitting as a corrected claim before the payer ever reviews it.

7. Payer Adjudication

Once the payer receives the claim, it runs through checks for eligibility and benefits, authorization, network status, coding accuracy, medical necessity, bundling edits, duplicates, and contract or fee-schedule terms.

The outcome can be full payment, partial payment with downcoding, denial, a pend for more information, or a formal request for records. Each outcome triggers a different next step on the provider side, which is why treating "not paid in full" as one category leads to the wrong response.

8. Remittance, Payment Posting, and Reconciliation

The payer returns an ERA or EOB detailing the allowed amount, contractual adjustment, and patient responsibility, along with CARC and RARC codes explaining any reduction or denial.

Posting the payment is only half the job. Someone still needs to review variance and catch underpayments; these are easy to miss if a team is only checking whether a payment came through, not whether the right payment came through.

9. Claim Status Follow-Up and A/R Management

Not every unpaid claim has a denial attached to it. Some remain pending with no final payer response, and some show no claim on file at all. Status checks run through payer portals, clearinghouses, chat, IVR, or phone calls, and follow-up should be prioritized by claim age, dollar amount, payer, deadline, and recovery likelihood.

CombineHealth's A/R Follow-Up Platform investigates pending and denied claims across payer portals and payer interactions, then helps prioritize which ones to chase first based on claim age, dollar value, and payer behavior. In practice, three problems come up constantly: a claim stuck in a pending state, a denial code that's nearly impossible to interpret, and a claim that shows no record on file anywhere, each requiring a different kind of investigation, not a generic follow-up template.

10. Denial Correction, Resubmission, and Appeals

The right next step in the healthcare claims processing workflow depends on whether the denial is valid. A team needs to correct and resubmit, submit additional documentation, file a formal appeal, transfer responsibility to the patient, write off the balance under policy, and track deadlines and payer response throughout.

CombineHealth's appeals platform categorizes each denial using CARC and RARC context, checks its validity, builds the appeal packet, routes it for review, and submits it with follow-up tracking. Coding rationale from Amy and policy citations from Penny feed directly into that packet, so the appeal arrives with evidence attached.

What Is the Difference Between a Rejected, Denied, Pending, and Underpaid Claim?

A rejected claim never reached adjudication. A denied claim was reviewed and declined. A pending claim is still under review. An underpaid claim was paid, but for less than expected. Each calls for a different response.

Why Do Healthcare Claims Get Delayed or Denied?

Failures rarely happen in isolation. Each one traces back to a specific stage in the workflow, and each has a predictable downstream effect.

• Front end: inaccurate demographics, coordination-of-benefits gaps, missing authorization or referral, credentialing issues
• Mid-cycle: thin documentation, imprecise coding, sequencing errors, missed modifiers, weak medical necessity support
• Submission: missing required fields, invalid identifiers, duplicate claims, payer-specific rule mismatches
• Back end: unclear claim status, misclassified denials, missed appeal deadlines, incomplete appeal packets

How Can Healthcare Organizations Improve Claims Processing?

• Validate information before the claim is created
• Standardize documentation and coding decisions
• Apply payer-specific rules before submission
• Manage exceptions instead of manually touching every claim
• Automate claim-status checks and work queues
• Feed denial outcomes back into upstream workflows
• Monitor claims-processing KPIs by payer, provider, and root cause

Not every claim needs the same level of scrutiny. Claims with ambiguity, low confidence, unusual payer rules, or high financial and compliance risk should route to a human reviewer; everything else can move through validated, repeatable logic. That distinction is what separates automation that reduces work from automation that just moves the work somewhere else.

How Is AI Changing Healthcare Claims Processing?

AI is automating specific tasks across the claims lifecycle, eligibility checks, coding suggestions, claim creation, payer-aware validation, status follow-up, denial categorization, and appeal drafting. No single model is making every clinical, coding, or financial decision on its own.

The systems that work best pair automation with explainability: a clear rationale and citation behind every suggestion, a confidence threshold that flags uncertain cases, and a human reviewer who approves anything that gets submitted or appealed. This shows up most clearly in a phased rollout; teams typically start with one task, confirm accuracy against their own results, then expand from there, with a human still approving what actually gets submitted.

Which Healthcare Claims-Processing Metrics Should Leaders Track?

Patterns matter more than any single number. CombineHealth's denial analytics solution mapped denials with 97.4% accuracy across 3,649 claims in one health-center analysis and surfaced more than 250 false denials; claims flagged as denied that were actually recoverable. That figure reflects denial-mapping accuracy specifically, not overall coding or claim accuracy. Connecting that pattern to Adam's follow-up work turns a monthly report into an active recovery process.

Fix What’s Breaking in Your Claim Processing Workflow

Healthcare claims processing breaks down in predictable places, and most of that lost revenue is recoverable once you know where to look.

CombineHealth's AI platform automates the healthcare claims processing workflow end to end, working across eligibility, coding, billing, and appeals as a connected system, not a set of disconnected tools. Every decision comes with a citation back to the policy or documentation behind it, so your team can trust it, audit it, and act on it fast. The platform is built for healthcare from the ground up, with HIPAA and SOC 2 compliance and data residency in the US.

If you're curious where your own claims are breaking down, CombineHealth can walk through a sample of your denials and show exactly what's recoverable. Book a demo now.

Frequently Asked Questions

Is claims processing the same as claims adjudication? 

No. Claims processing is the entire lifecycle, from patient intake to final payment. Adjudication is one part of that, the payer's evaluation of a submitted claim.

What's the difference between claim scrubbing and payer-aware validation? 

Scrubbing checks whether a claim is technically complete, has correct fields, and has valid formatting. Payer-aware validation goes further, checking whether the specific payer's rules and behaviors make the claim likely to be accepted and paid as submitted.

Why do claims get denied even when they're coded correctly? 

Coding accuracy is only one factor. Denials also come from eligibility mismatches, missing authorization, medical necessity gaps, bundling edits, or payer-specific requirements that have nothing to do with the code itself.

Can every claim be processed automatically? 

No, all claims can’t be processed automatically. Claims with ambiguity, low confidence, unusual payer rules, or high financial and compliance risk should route to a human reviewer. The goal is reducing manual work on routine claims, not removing oversight entirely.

What should a revenue cycle team measure first? 

Clean claim rate and first-pass acceptance rate are the earliest indicators of workflow health. Both point directly back to eligibility, authorization, and coding accuracy, the stages where most preventable errors originate.

How long does healthcare claims processing usually take? 

It varies by payer and claim complexity, but a clean claim typically moves from submission to payment in two to four weeks. Claims that get rejected, pended, or denied can take significantly longer, especially once they require an appeal and a second review cycle.