The $40 Problem Nobody Wants to Fix: Why Medical Billing Denials Often Begin Before the Claim Even Exists

“The greatest obstacle to discovery is not ignorance—it is the illusion of knowledge.” — Daniel J. Boorstin.

Everyone Is Fixing the Claim. Nobody Is Fixing the Problem.

Imagine this.

A physician in New York finishes a full day of patient appointments.

The waiting room was full. The clinical team was busy. Patients received care. Charts were completed. Everyone is exhausted.

Then the billing department discovers that several claims have been rejected or denied.

One patient had an incorrect insurance number. Another had an expired policy. A third needed prior authorization. Someone entered the wrong demographic information. Another claim is missing supporting documentation.

What happens next?

The billing team starts investigating.

Someone opens the clearinghouse portal. Someone else calls the payer. Another employee checks the patient’s insurance. Someone corrects the claim and submits it again.

The practice is now paying people to repair mistakes that may have occurred days or weeks earlier.

And here is the funny part.

When the money does not arrive, everyone looks at billing.

Apparently, the billing department is responsible for everything that happened before the claim reached its desk.

That is like blaming the plumber because somebody forgot to turn off the faucet.

We have become very good at fixing claims.

But how good are we at preventing the problems that create them?

This is the uncomfortable question physician-owned practices need to ask.

Because sometimes the billing department is not the source of the problem.

It is simply the last department forced to deal with it.

The First Mistake: Treating Rejections and Denials Like the Same Disease

Let’s start with something surprisingly simple.

A rejected claim and a denied claim are not interchangeable.

Yet practices sometimes lump them together under one convenient heading: unpaid claims.

That is like treating a flat tire and an engine failure as the same automotive problem.

Both stop the car. The repair is different.

Clearinghouse rejections happen before payer adjudication.

The claim has not successfully made it through the clearinghouse’s applicable submission requirements.

Common causes include:

• Invalid provider identifiers.
• Incorrect patient demographics.
• Missing information.
• Invalid insurance identification numbers.
• Incorrect payer routing.
• Technical formatting problems.

Think of a rejection as an email that never reached its destination because someone typed the wrong address.

The message was never properly delivered.

Payer denials happen after the insurance company receives and adjudicates the claim.

Common reasons include:

• Medical necessity disputes.
• Noncovered services.
• Missing prior authorization.
• Inadequate documentation.
• Coding or modifier problems.
• Timely filing issues.
• Coordination-of-benefits problems.

A denial is closer to receiving a response that says, “We received your request. We are not paying it.”

One requires correction of a submission problem.

The other may require investigation, documentation, reconsideration, or an appeal.

And sometimes the payer is wrong.

Sometimes the provider is wrong.

Sometimes both sides are looking at different information.

The lesson: Stop treating every unpaid claim as one problem. Diagnose the problem before prescribing the solution.

The Front Desk: The Most Underestimated Department in Revenue Cycle Management

Here is a contrarian thought.

What if the most important revenue-cycle employee is not the biller?

What if it is the person who registers the patient?

Consider what happens before a physician sees a patient.

A patient schedules an appointment.

Insurance information is collected.

Eligibility is checked.

Benefits are reviewed.

Authorization requirements are identified.

Patient demographics are entered.

Every one of these steps creates information that may affect reimbursement later.

Now imagine one small mistake.

The insurance policy is inactive.

The patient has changed insurance providers.

The authorization was never requested.

The wrong payer was selected.

The information was entered incorrectly.

The physician provides the service.

The biller submits the claim.

The payer rejects or denies it.

And suddenly, everyone is discussing coding.

The coding may be perfectly correct. The problem may have existed before the physician entered the room.

This is why front-end revenue cycle management deserves more attention.

The front desk is not simply an administrative checkpoint.

It is an important source of financial information.

A practice can have excellent physicians, experienced billers, sophisticated software, and still struggle because the information entering the system is incomplete.

A beautiful billing dashboard cannot rescue information that was never captured correctly.

The Numbers: Revenue Leakage Is Not a Small Administrative Annoyance

Let’s examine the industry evidence.

The numbers are important because denial management is frequently discussed as a billing issue rather than an operational and financial sustainability issue.

The 2026 State of Claims Findings

Experian Health’s 2026 State of Claims survey, released October 28, 2026, reported:

• 75% of surveyed healthcare professionals said claim denials were increasing.
• 40% reported denial rates of at least 10%.
• 89% identified denial reduction as an organizational priority.
• 65% said submitting clean claims had become more difficult.
• 64% reported increasing reimbursement timelines.
• 78% said payer policies were changing more frequently.
• 84% believed AI could improve claims management in some capacity.

One particularly important finding was that services not covered were the most frequently cited denial reason among the surveyed organizations.

These findings suggest that healthcare organizations are facing a more complicated reimbursement environment.

The survey covers healthcare organizations broadly, so its findings should not automatically be interpreted as the specific experience of small independent practices.

The Prior Authorization Burden

The American Medical Association has documented the substantial administrative burden associated with prior authorization.

Its 2026 survey reported:

• Physicians complete approximately 40 prior authorizations per week.
• These activities consume approximately 13 hours of physician and staff time weekly.
• 94% of surveyed physicians reported that prior authorization contributes to burnout.
• 74% reported an increase in denials over the previous five years.

Think about that.

Thirteen hours.

That is not a minor administrative inconvenience.

That is time that could otherwise be spent supporting patients, managing a practice, or addressing clinical responsibilities.

We have somehow built a healthcare environment where physicians need to spend hours proving that they are allowed to provide care.

And we wonder why everyone is exhausted.

The Front-End Connection

Industry research has repeatedly identified registration, eligibility verification, and authorization as important contributors to claim problems.

The exact proportion of preventable denials varies by study, payer, specialty, and methodology.

So let’s stop repeating impressive statistics without asking where they came from.

A practice should measure its own preventable denial rate.

The number that matters most is not how many claims were denied. It is how many could reasonably have been prevented.

Three Expert Perspectives: What the Industry Is Telling Us

Rather than inventing quotations, this section draws on three identifiable industry perspectives and their published findings.

Expert 1: Mindy Fortson — Experian Health

The issue: Growing denial pressure and the need for better claims management.

Experian Health’s 2026 findings highlight the increasing difficulty healthcare organizations face in maintaining clean claims and managing payer reimbursement requirements.

The underlying message is that denial management needs to become more systematic.

A practice should not simply count denials.

It should understand their causes.

Practical lessons:

1. Track recurring denial categories.
2. Improve patient registration accuracy.
3. Identify payer-specific problems.
4. Evaluate AI based on measurable operational improvement.
5. Reduce unnecessary manual intervention.

My interpretation: If your team sees the same denial every week, you do not have five separate problems. You may have one broken process repeating itself.

Expert 2: The American Medical Association — Physician Advocacy

The issue: Administrative burden and prior authorization.

The AMA’s findings illustrate how payer requirements consume physician and staff time.

The problem extends beyond reimbursement.

It affects clinical workflow, patient access, and physician well-being.

Practical lessons:

1. Centralize authorization tracking.
2. Identify frequently authorized services.
3. Verify requirements before appointments and procedures.
4. Preserve supporting documentation.
5. Track delays and repeated requests.
6. Escalate recurring payer problems.

My interpretation: Physicians should not need three browser tabs, two spreadsheets, and a telephone call just to determine whether an administrative requirement has been completed.

Expert 3: Wael Khouli, MD, MBA — Healthcare Revenue Cycle Commentary

The issue: Changing payer requirements and reimbursement complexity.

Recent healthcare revenue-cycle coverage has highlighted the challenges created by changing payer policies and increasingly complex coverage requirements.

A service paid last month may encounter different requirements today.

That means practices cannot rely entirely on historical experience.

Practical lessons:

1. Monitor payer policy changes.
2. Maintain payer-specific workflow references.
3. Communicate relevant changes to staff.
4. Review denial trends by payer and service.
5. Document medical necessity accurately.

My interpretation: Experience is valuable. But experience without updated information can become an expensive habit.

These perspectives point toward one conclusion.

Revenue cycle management needs to move beyond correcting individual claims and toward improving the processes that produce them.

Recent News: The Industry Is Finally Having the Right Conversation

Three developments during the week of October 26–November 2, 2026, reinforce the importance of upstream revenue-cycle improvement.

October 28: Experian Health’s 2026 State of Claims findings

The survey highlights growing denial pressure, changing payer policies, and increasing interest in AI-assisted claims management.

Read the Experian Health announcement

October 28: Becker’s Hospital Review examines denial causes

The coverage discusses the continuing problems associated with claim denials, coverage requirements, coding, and payer policies.

Read the Becker’s analysis

October 30: Medical Economics examines uncovered services

The report discusses the growing importance of coverage restrictions and the financial consequences of denied claims.

Read Medical Economics

The bigger message?

The industry is increasingly recognizing that claim problems are connected to information, coverage, administrative processes, and payer complexity.

But recognition is only the beginning.

The real question is whether practices are changing how they operate.

Eight Places Where Your Revenue Cycle May Be Breaking

Let’s follow the patient journey.

1. Scheduling

Was the correct patient information collected?

Were insurance changes identified?

2. Registration

Were demographics entered accurately?

Was the correct insurance plan selected?

3. Eligibility verification

Was coverage active?

Were applicable benefits and exclusions reviewed?

4. Prior authorization

Was authorization required?

Was it obtained for the correct service, provider, and date range?

5. Clinical documentation

Does the medical record accurately support the services provided?

6. Coding

Do the codes accurately reflect the documented encounter?

Are applicable modifiers correct?

7. Claim submission

Did the claim pass required technical and administrative edits?

8. Payment and reconciliation

Was the claim paid correctly?

If not, was the actual reason identified?

Notice something?

The billing department is involved in only part of this journey.

Yet it often inherits the consequences of every preceding stage.

The revenue cycle is a relay race. If one person drops the baton, the last runner cannot magically win the race.

Ten Practical Steps to Stop Repeating the Same Billing Mistakes

Here is where theory meets operations.

Small practices do not need a multimillion-dollar technology investment to start improving their revenue cycle.

They need visibility, accountability, and repeatable processes.

Step 1: Establish your baseline.

Review 90 days of claims.

Measure rejection rates, denial rates, first-pass resolution, days in accounts receivable, and recovered revenue.

Step 2: Separate rejections from denials.

Do not combine different problems into one metric.

Step 3: Categorize recurring errors.

Create categories for eligibility, demographics, authorization, coding, documentation, coverage, and timely filing.

Step 4: Standardize registration.

Establish a consistent process for collecting and validating patient information.

Step 5: Verify insurance before appointments.

Check coverage and relevant benefits at an appropriate interval before the service.

Step 6: Track authorization centrally.

Stop relying on memory and scattered email conversations.

Step 7: Improve clinical and administrative communication.

Make sure missing documentation and authorization issues are identified early.

Step 8: Use claim-scrubbing tools.

Identify technical errors before submission.

Step 9: Perform root cause analysis.

Ask why the error occurred, not simply how to correct it.

Step 10: Review performance weekly.

Assign responsibility for corrective actions and measure whether recurring problems decrease.

A simple rule:

If the same problem appears repeatedly, stop treating it as an individual mistake.

Investigate the process.

Five Myths That Keep Revenue Cycle Problems Alive

Myth 1: Billing is responsible for all unpaid claims.

Reality: The cause may originate in registration, eligibility, authorization, documentation, coding, or payer processing.

Myth 2: Eligibility verification guarantees payment.

Reality: Active coverage does not establish that every service is covered or that all payment requirements have been met.

Myth 3: A clean claim guarantees reimbursement.

Reality: A technically correct claim can still be denied for coverage, medical necessity, authorization, or contractual reasons.

Myth 4: Hiring more billers solves recurring denials.

Reality: Additional staff may improve capacity, but they cannot permanently repair a defective workflow.

Myth 5: AI will eliminate medical billing problems.

Reality: AI can improve information processing, identify exceptions, and support staff. It cannot guarantee accurate source data, coverage, or reimbursement.

Buying more software to fix a broken process is like buying a faster printer because your documents are incorrect.

The printer is not the problem.

The Hidden Economics of Rework

Let’s use a simple hypothetical example.

A practice submits 1,000 claims each month.

Suppose 10% require additional work because of preventable administrative or technical issues.

That means 100 claims need intervention.

If each intervention takes 20 minutes, the practice spends approximately 33 hours every month correcting those problems.

At an illustrative fully loaded labor cost of $30 per hour, that equals approximately $1,000 per month.

Over a year?

Approximately $12,000.

And that excludes delayed cash flow, additional follow-up, appeal preparation, unrecovered revenue, and management time.

The $40 rework figure sometimes cited in industry discussions should not be treated as a universal cost. Actual costs depend on the practice and the complexity of the claim.

But the economic principle remains.

A small administrative mistake becomes a recurring financial expense when the process never changes.

Root Cause Analysis: Stop Putting Buckets Under Leaking Roofs

Consider two different approaches.

Approach A: Reactive billing

A claim is denied.

The billing employee investigates.

The employee corrects the claim.

The claim is resubmitted.

The process repeats.

Approach B: Preventive workflow management

A claim is denied.

The practice investigates the root cause.

The team discovers that insurance verification is inconsistent.

The registration process is updated.

Staff receive training.

The practice monitors subsequent claims to determine whether the problem decreases.

Which approach creates lasting improvement?

Obviously, the second.

Yet healthcare often rewards the visible activity of working denials more than the less visible work of preventing them.

That needs to change.

A successful practice should not measure its billing department only by how many problems it resolves.

It should also measure how many recurring problems disappear.

AI in Medical Billing: Faster Errors or Better Decisions?

AI is becoming an increasingly important part of healthcare administration.

But let’s challenge the usual marketing message.

Is the objective really to automate more billing tasks?

Or should we be asking why those tasks require so much manual intervention in the first place?

Traditional automation can:

• Extract information.
• Check required fields.
• Flag inconsistencies.
• Organize documents.
• Generate reminders.
• Route exceptions.
• Produce reports.

These are useful capabilities.

But they do not automatically create workflow intelligence.

Imagine a patient with an insurance change, a service requiring authorization, and a subsequent claim denial.

The relevant information may exist in multiple systems.

A disconnected tool may identify a missing authorization number.

A better-connected workflow should help establish whether the insurance change was recognized, whether authorization was required, whether it was requested, whether approval matched the performed service, and whether supporting documentation was preserved.

That is a different level of operational understanding.

What AI Should Help With

1. Identify missing information.
2. Detect inconsistencies.
3. Organize authorization records.
4. Flag potential documentation gaps.
5. Recognize recurring denial patterns.
6. Summarize payer-specific issues.
7. Prioritize exceptions.
8. Support administrative decision-making.

What AI Should Not Do Without Appropriate Oversight

1. Invent clinical documentation.
2. Manufacture medical necessity.
3. Make unsupported coding decisions.
4. Guarantee coverage.
5. Guarantee payment.
6. Replace qualified compliance review.
7. Submit questionable claims without validation.

AI should remove administrative noise, not manufacture artificial confidence.

The ONNX Perspective: Don’t Automate the Mess. Prevent the Mess.

This is the philosophy behind my work as a physician-entrepreneur and founder of ONNX.

Healthcare has invested heavily in downstream systems designed to process, review, correct, and resubmit claims.

But the deeper opportunity may be upstream.

The problem is often not that healthcare lacks information.

It is that information is fragmented.

Patient demographics exist in one system.

Insurance details exist in another.

Authorization information sits in a payer portal.

Clinical documentation resides in the EHR.

Billing staff are left to connect the dots.

And the patient often becomes the human bridge between disconnected systems.

That is not intelligent healthcare administration.

It is administrative improvisation.

ONNX is being developed as an upstream healthcare workflow intelligence platform, built by physicians and medical billing professionals.

Its objective is to help physician-owned practices identify and prevent avoidable administrative and billing problems before they become coding errors, claim rejections, denials, payment delays, and repetitive rework.

The underlying framework is:

Capture → Structure → Preserve → Propagate → Act → Learn

Capture: Collect accurate information early.

Structure: Organize it into consistent, usable data.

Preserve: Maintain the relevant context throughout the workflow.

Propagate: Make the right information available to the appropriate people and systems.

Act: Identify inconsistencies and address problems before they spread.

Learn: Use recurring patterns to improve the process.

This is not a promise to eliminate every denial.

Some denials are legitimate. Some require clinical judgment. Others reflect payer policy, contractual disputes, or coverage limitations.

The objective is more practical.

Reduce preventable administrative failures.

Improve information continuity.

Give physicians and their teams better visibility.

Reduce unnecessary manual work.

And allow people to spend more time on healthcare rather than chasing information.

A faster mop will not fix a leaking pipe.

Legal and Regulatory Considerations

Revenue cycle improvement must never come at the expense of compliance.

Practices should consider:

HIPAA: Protect patient information, maintain appropriate access controls, assess vendor security, and execute business associate agreements when required.

Accurate billing: Ensure claims reflect services actually provided and are supported by appropriate documentation.

False Claims Act: Avoid knowingly submitting false or unsupported claims.

Medicare and Medicaid: Follow applicable program-specific documentation, coding, coverage, and billing requirements.

Payer contracts: Understand filing deadlines, authorization requirements, appeal procedures, and reimbursement terms.

Appeals: Maintain documentation and track deadlines according to the applicable payer and program requirements.

Technology does not remove legal accountability.

AI-generated suggestions must be reviewed appropriately, and protected health information must be handled under applicable privacy and security requirements.

Ethical Considerations: Revenue Integrity Comes First

There is an important distinction between preventing inappropriate denials and manipulating claims.

The objective should be accurate reimbursement for appropriate care.

Not reimbursement at any cost.

Practices should never alter documentation to manufacture medical necessity, select unsupported codes, misrepresent services, or use automation to bypass appropriate clinical and compliance review.

Technology should protect the integrity of the medical record.

The best revenue cycle is not the one that gets every claim paid. It is the one that accurately represents the care delivered and supports legitimate reimbursement.

A Practical 30-60-90 Day Improvement Plan

Days 1–30: Discover

• Review 90 days of claims.
• Identify recurring denial categories.
• Separate rejections from denials.
• Examine eligibility and authorization workflows.
• Interview front-desk and billing staff.
• Establish baseline metrics.

Deliverable: Three high-priority workflow problems.

Days 31–60: Improve

• Standardize registration.
• Introduce pre-visit verification.
• Centralize authorization tracking.
• Improve claim validation.
• Establish denial ownership.
• Introduce weekly reviews.

Deliverable: Documented workflows and corrective actions.

Days 61–90: Measure

• Compare denial rates.
• Monitor first-pass resolution.
• Track administrative rework.
• Evaluate reimbursement timelines.
• Review staff workload.
• Assess technology effectiveness.

Deliverable: A performance report and updated improvement plan.

The goal is measurable progress, not an arbitrary promise of a 50% denial reduction.

The Future: From Revenue Cycle Management to Revenue Cycle Intelligence

The next generation of medical billing will not simply be about processing claims faster.

It will involve understanding the information behind those claims.

Expect growing emphasis on:

• AI-assisted patient access.
• Automated eligibility checks.
• Better authorization coordination.
• Payer-policy intelligence.
• Interoperability.
• Workflow analytics.
• Human-supervised automation.
• Predictive identification of administrative exceptions.

Smaller practices will need solutions that deliver meaningful intelligence without requiring enterprise-level budgets and administrative infrastructure.

The opportunity is not to replace every employee.

It is to eliminate unnecessary work that prevents employees from doing their jobs effectively.

The future belongs to systems that prevent avoidable problems, not just systems that report them faster.

Frequently Asked Questions

1. What is the difference between a claim rejection and a denial?

A rejection generally occurs before payer adjudication. A denial occurs after the payer processes the claim and determines that some or all of the requested payment will not be made.

2. What causes most medical billing rejections?

Common causes include incorrect patient information, invalid provider identifiers, missing data, incorrect payer routing, and technical submission errors.

3. What causes medical billing denials?

Common causes include coverage restrictions, eligibility issues, missing authorization, coding errors, medical necessity disputes, incomplete documentation, and timely filing violations.

4. Are medical billing denials preventable?

Some are. Administrative and technical errors may be prevented through better workflows. Legitimate coverage decisions and clinical circumstances cannot always be prevented.

5. Does insurance verification guarantee reimbursement?

No. Verification provides coverage information but does not guarantee payment for a particular service.

6. How can a small clinic reduce denials?

Improve registration, eligibility verification, authorization tracking, clinical documentation, coding validation, and root cause analysis.

7. Can AI eliminate medical billing denials?

No. AI can support error detection, information organization, and workflow improvement, but it cannot eliminate all payer disputes or guarantee reimbursement.

8. Should physicians hire more billers or invest in automation?

That depends on the underlying problem. First determine whether the practice has a capacity problem, a process problem, a data problem, or some combination.

9. What is the most important revenue-cycle metric?

There is no single metric. A useful dashboard includes clean claim rate, rejection rate, denial rate, first-pass resolution, days in A/R, and preventable denial rate.

10. Where should revenue-cycle improvement begin?

Start where information enters the practice. Accurate patient registration, eligibility verification, and authorization management can prevent problems from spreading downstream.

Final Thoughts: Stop Chasing Yesterday’s Money

We have built an entire industry around correcting claims.

We have software to scrub claims, employees to investigate claims, departments to appeal claims, and dashboards to report claims.

Yet the same administrative mistakes continue to return.

Perhaps we should stop asking how to process unpaid claims faster.

Perhaps we should ask why the same problems keep happening.

A claim is the final product of a much larger chain of information.

When that information is incomplete, inconsistent, or disconnected, the consequences eventually appear in the billing department.

The problem is not always the claim. Sometimes the claim is simply where the problem becomes visible.

Physician-owned practices do not need another layer of administrative complexity.

They need better information, connected workflows, and technology that helps prevent avoidable mistakes.

A faster billing process is useful.

A process that creates fewer billing problems is better.

And a healthcare system that gives physicians more time to care for patients is worth building.

Get Involved: Let’s Challenge the Way Healthcare Thinks About Billing

Here is my question for physicians, clinic owners, medical billers, and healthcare technology professionals:

If the mistake happens at the front desk, why does the billing department get the blame?

I want to hear your experience.

Where does your practice lose the most time and money: registration, eligibility, prior authorization, documentation, coding, or payer adjudication?

Comment below. Share one recurring billing problem you believe should have been prevented upstream.

Repost this article if you believe healthcare needs to spend less time correcting administrative mistakes and more time preventing them.

Let’s move the conversation from denial recovery to denial prevention.

Let’s challenge unnecessary complexity.

And let’s give human attention back to healthcare.

About the Author

Dr. Daniel Cham is a physician, healthcare strategist, medical technology consultant, and entrepreneur. He is the founder of ONNX, an AI-powered medical billing and healthcare workflow intelligence initiative focused on helping physician-owned practices reduce avoidable administrative and billing problems.

His work explores the intersection of healthcare operations, medical billing, artificial intelligence, and revenue cycle management. He advocates for practical, human-supervised technology that improves information continuity, reduces administrative friction, and allows healthcare professionals to focus more attention on patient care.

Disclaimer and Professional Note

This article provides general educational information and does not constitute medical, legal, coding, compliance, or reimbursement advice. Applicable laws, payer policies, contracts, and coverage requirements may vary and change. Consult qualified professionals and authoritative sources before making practice-specific decisions.

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Knowledge Is the Beginning of Progress

Question familiar practices. Challenge unnecessary complexity. Turn information into action.

Better healthcare begins when we stop accepting avoidable problems as normal.

Learn more. Think differently. Help build what comes next.

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If this perspective resonates, consider reposting it to help more physicians and independent clinic owners rethink the way billing affects their practices.

References and Further Reading

1. Experian Health — 2026 State of Claims — Industry findings on claim denial trends, clean claims, payer policy changes, reimbursement challenges, and AI adoption.

2. Becker’s Hospital Review — What’s to Blame for Claim Denials in 2026? — Analysis of denial drivers, coverage requirements, coding inaccuracies, and revenue-cycle challenges.

3. Medical Economics — Why Are Claims Being Denied in 2026? — Discussion of uncovered services, payer restrictions, and reimbursement implications for medical practices.

4. The Denial Isn’t the Problem. It’s the Clue. — Why recurring denials can reveal deeper operational and information problems.

5. Your Medical Billing Problem May Not Be a Billing Problem: The Hidden Cost of Creating Work You Should Never Have to Do — How repetitive administrative work creates unnecessary costs for independent practices.

6. The Best Claim Is the One You Never Have to Fix — Why preventing billing errors upstream is more valuable than repeatedly correcting claims.

7. The Cheapest Claim Is the One You Never Have to Fix — The financial case for reducing avoidable claim rework.

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