Thursday, July 23, 2026

Healthcare Has More Data Than Ever. So Why Do Patients Feel Less Known Than Ever?

A NICU nurse’s extraordinary story reveals the missing ingredient in modern medicine: preserving the human connection while technology removes unnecessary complexity.



“The need to reinforce the humanity of healthcare has perhaps never been more apparent.” Gregory Makoul, PhD, healthcare communication researcher (Human-centered healthcare: An organizing principle for reinforcing the humanity of healthcare, Patient Education and Counseling, July 2026)


A nurse did what technology cannot do. She remembered a person.

A fragile newborn entered a NICU.

She was not a statistic.

She was not a diagnosis.

She was not a billing code.

She was a human being who needed someone to believe she had a future.

Nora Lussier was assigned to care for Pamela during one of the most vulnerable moments of her life.

At first, Nora was simply her nurse.

But something happened that modern healthcare rarely measures.

A relationship formed.

Years later, Nora adopted Pamela.

The nurse who once monitored her vital signs became the person who helped shape her entire life.

It is a beautiful story.

But it also exposes one of healthcare’s biggest contradictions:

We have built the most technologically advanced healthcare system in history, yet many patients feel like nobody truly knows them.

Why?

Because healthcare has become incredibly good at collecting information.

But not always good at remembering people.


The Healthcare Paradox Nobody Wants to Talk About

Healthcare has never had:

  • more data
  • more specialists
  • more technology
  • more sophisticated diagnostics
  • more powerful artificial intelligence

Yet physicians are exhausted.

Patients are frustrated.

Independent practices are struggling.

Something is wrong.

The problem is not that healthcare lacks intelligence.

The problem is that healthcare has accumulated complexity faster than it has created simplicity.

We have optimized the system for:

  • documentation
  • compliance
  • billing requirements
  • operational metrics

But we have not optimized enough for:

  • trust
  • relationships
  • physician attention
  • patient connection

The Uncomfortable Question Healthcare Leaders Need to Ask

What if physician burnout is not primarily a resilience problem?

What if it is a design problem?

For years, healthcare has asked physicians to adapt.

Work faster.

Document more.

See more patients.

Complete more requirements.

Master more systems.

But perhaps the question should be:

Why are we forcing the most highly trained people in healthcare to spend their time doing work machines are better suited to handle?


The Hidden Cost of Administrative Medicine

Most physicians did not spend a decade training to become experts in:

  • denial management
  • insurance rules
  • claim corrections
  • prior authorization workflows
  • billing follow-up

Yet these activities consume enormous amounts of clinical energy.

The cost is not only financial.

It is emotional.

Every hour spent fixing administrative problems is an hour not spent:

  • listening to a worried patient
  • explaining treatment options
  • preventing complications
  • building trust

The healthcare industry often talks about improving the “patient experience.”

But perhaps we should start with a different question:

What kind of patient experience can we create when physicians have less and less time to be physicians?


The Biggest Mistake Healthcare Technology Companies Make

The healthcare technology industry often starts with the wrong question.

They ask:

“How can we automate this task?”

A better question:

“Why does this task exist in the first place?”

Automation is not the goal.

Freedom is.

The purpose of technology should not be creating faster paperwork.

It should be eliminating unnecessary work.


Why Medical Billing Is More Than a Financial Problem

Many people think billing belongs in the finance department.

That thinking is outdated.

Billing problems often begin long before the claim reaches the payer.

They begin with:

  • incomplete information
  • disconnected systems
  • inconsistent workflows
  • poor communication between clinical and administrative teams

A denied claim is usually not the beginning of the problem.

It is the final symptom.

The real question is:

What happened upstream that allowed this problem to exist?


The Contrarian View: Healthcare Does Not Need More Billing Recovery. It Needs Billing Prevention.

Traditional healthcare billing asks:

“Which claims failed?”

The future should ask:

“Which claims are likely to fail before they are submitted?”

This is the difference between reactive healthcare operations and intelligent healthcare operations.

The next generation of medical billing should move from:

Error correction

to

Error prevention

From:

Manual chasing

to

Predictive intelligence

From:

Administrative burden

to

Administrative simplicity


Where AI Actually Belongs in Healthcare

The AI conversation is often misunderstood.

The question is not:

“Will AI replace physicians?”

The better question:

“Will physicians who use AI replace physicians who refuse to adapt?”

But the winning approach is not replacing humans.

It is protecting humanity.

AI should handle:

  • repetitive analysis
  • workflow monitoring
  • documentation assistance
  • administrative pattern recognition

Humans should handle:

  • compassion
  • judgment
  • difficult conversations
  • ethical decisions

The future physician is not less human.

The future physician has more time to be human.


Three Expert Perspectives

Dr. Atul Gawande: Healthcare Is a Human System

Dr. Atul Gawande has repeatedly emphasized that medicine is not only technical.

Healthcare succeeds when professionals understand the person behind the illness.

Lesson for leaders:

A perfect system without empathy is still incomplete.

 

Dr. Eric Topol: Technology Should Give Doctors Their Time Back

Dr. Eric Topol has argued that AI’s greatest opportunity is reducing unnecessary burden.

Lesson:

The best healthcare technology disappears into the background and allows physicians to focus on patients.

 

Dr. Donald Berwick: Start With the Patient, Not the Institution

Dr. Donald Berwick’s work on healthcare quality emphasizes patient-centered design.

Lesson:

Healthcare should be built around the people receiving care, not only the organizations delivering it.


The New Healthcare Leadership Question

The old question:

“How do we make healthcare more efficient?”

The new question:

“How do we make healthcare more human while becoming more efficient?”

Those are not competing goals.

They are connected.

Efficiency creates capacity.

Capacity creates connection.

Connection creates trust.

Trust creates better healthcare.


A Message for Physician Owners

Your biggest asset is not your equipment.

It is not your EMR.

It is not your billing software.

It is the trust patients place in you.

Protect it.

Every operational decision should ask:

Does this help my team spend more meaningful time caring for patients?

If the answer is yes, it is probably the right direction.


Healthcare’s Biggest Inefficiency Is Not Waste. It Is Wasted Human Potential.

Healthcare leaders often talk about reducing costs.

They discuss:

  • operational efficiency
  • productivity
  • automation
  • reimbursement pressure
  • workforce shortages

All important issues.

But there is a deeper problem hiding underneath.

Healthcare is wasting something far more valuable than money.

It is wasting human expertise.

A physician spends years learning how to diagnose disease, interpret complexity, communicate uncertainty, and make life-changing decisions.

Yet many physicians spend significant portions of their day performing tasks that do not require their medical training.

This is the paradox:

The people most qualified to care for patients are often trapped managing the system around care.


The Physician Burnout Conversation Needs to Change

For years, burnout has been framed as an individual problem.

The solution was often:

  • wellness programs
  • mindfulness training
  • resilience workshops
  • stress management

Those tools can help.

But they do not fix the root cause.

A physician does not become burned out because they care too much.

Many become burned out because they are forced to spend too much time doing work that separates them from why they entered medicine.

A surgeon does not dream about correcting insurance errors.

A pediatrician does not spend years training to chase unpaid claims.

A family physician does not choose medicine because they love documentation queues.

The deeper issue is:

Healthcare has created a system where caring for patients requires fighting through layers of administrative friction.


The Revenue Cycle Is a Clinical Infrastructure Problem

Medical billing is often treated as a business function.

But for physician-owned practices, revenue cycle management is part of clinical infrastructure.

Why?

Because financial instability affects everything:

  • staffing decisions
  • appointment availability
  • technology investment
  • physician workload
  • patient access

A clinic cannot provide excellent care if the operational foundation is unstable.

The uncomfortable truth:

A financially unhealthy medical practice eventually becomes a healthcare access problem.


Why Small and Medium-Sized Clinics Are Especially Vulnerable

Large healthcare systems can absorb inefficiencies.

They have:

  • dedicated billing departments
  • compliance teams
  • analysts
  • administrative infrastructure

Many independent practices do not.

The physician-owner often carries multiple roles:

Monday morning:

Doctor.

Afternoon:

Practice manager.

Evening:

Revenue cycle problem solver.

Weekend:

Business strategist.

This creates a dangerous situation:

The physician who should be thinking about patients is forced to spend energy managing complexity.


The Hidden Enemy: Reactive Healthcare Operations

Most medical billing systems are designed around reacting after problems happen.

A typical workflow:

Step 1:

Patient visit occurs.

Step 2:

Documentation is completed.

Step 3:

Claim is submitted.

Step 4:

Insurance rejects claim.

Step 5:

Staff investigates.

Step 6:

Correction is attempted.

This process is expensive.

Not because people are inefficient.

Because the system waits until failure happens.

Healthcare has spent decades becoming better at fixing mistakes.

But the future belongs to organizations that prevent mistakes.


The Contrarian Opportunity: Stop Managing Denials. Prevent Them.

The healthcare industry spends enormous resources fighting claim denials.

But a denial is not the disease.

It is the symptom.

The real disease is upstream.

Possible causes:

  • missing documentation
  • unclear workflows
  • incomplete information
  • inconsistent coding practices
  • disconnected systems

The better question is not:

“How do we recover more denied claims?”

The better question:

“How do we make fewer claims fail in the first place?”


The Future of Medical Billing: From Transaction Processing to Intelligent Prevention

The next generation of healthcare operations will not be built around more manual labor.

It will be built around better intelligence.

Imagine a system that can identify:

  • missing information before submission
  • documentation gaps
  • unusual billing patterns
  • workflow bottlenecks

Not after the damage happens.

Before.

This represents a fundamental shift:

Old Model:

Claim failure → Human intervention → Correction

Future Model:

Data intelligence → Prevention → Better outcomes


Why OnnX Was Built Around an Upstream Philosophy

The healthcare billing industry has historically focused downstream.

After the patient encounter.

After the documentation.

After the mistake.

But the greatest opportunity exists earlier.

At the moment information is created.

Better input creates better output.

This principle applies everywhere:

  • aviation
  • engineering
  • software
  • finance

Healthcare should be no different.

If poor-quality data enters the system, every downstream process becomes more difficult.

The answer is not simply hiring more people to repair broken workflows.

The answer is designing smarter workflows.


Healthcare AI: The Wrong Debate

The healthcare industry is asking the wrong question.

The common question:

“Will AI replace healthcare workers?”

The better question:

“What healthcare problems are too important to continue solving manually?”

AI is not valuable because it is impressive.

AI is valuable when it removes unnecessary complexity.


Five Practical AI Rules for Physician-Owned Practices

Rule #1: Start With Pain, Not Technology

Do not begin with:

“We need AI.”

Begin with:

“We have a workflow problem.”

Examples:

  • too many denials
  • slow documentation
  • staff overload
  • delayed reimbursement

Technology should solve a defined problem.

 

Rule #2: Automate Repetition, Not Judgment

Good AI opportunities:

  • identifying patterns
  • organizing information
  • flagging missing data
  • reducing repetitive administrative work

Human responsibilities:

  • clinical judgment
  • ethical decisions
  • patient communication

 

Rule #3: Protect Patient Privacy

Healthcare innovation requires responsibility.

Organizations must consider:

  • HIPAA compliance
  • data security
  • access control
  • vendor agreements

Convenience cannot come before trust.


Rule #4: Measure Results

A technology investment should answer:

Did it improve something measurable?

Examples:

  • reduced denial rate
  • faster reimbursement
  • fewer administrative hours
  • improved staff satisfaction

Rule #5: Keep Physicians in Control

AI should support clinicians.

Not replace them.

The physician remains accountable for:

  • medical decisions
  • patient relationships
  • ethical care

Statistics: The Administrative Burden Behind the Crisis

Healthcare’s hidden workload problem

Physicians face increasing pressure from administrative requirements.

Major contributors include:

  • documentation demands
  • insurance processes
  • prior authorizations
  • billing complexity
  • fragmented systems

Why this matters

Administrative burden contributes to:

  • physician dissatisfaction
  • staff turnover
  • reduced practice independence
  • less time with patients

The issue is not simply productivity.

It is preservation of healthcare quality.


The Business Case for Human-Centered Efficiency

Some leaders mistakenly believe compassion and efficiency compete.

They do not.

A better system can create both.

When physicians spend less time on unnecessary administrative tasks:

Practices gain:

  • improved workflow
  • better employee experience
  • stronger financial performance

Patients gain:

  • better communication
  • more physician attention
  • stronger relationships

Physicians gain:

  • more meaningful work
  • less frustration
  • restored purpose

The Future Healthcare Leader Will Think Differently

The traditional healthcare executive asks:

“How do we process more patients?”

The future healthcare leader asks:

“How do we create more value per patient interaction?”

That requires:

  • better systems
  • better information
  • better workflows
  • better technology

But most importantly:

A better understanding of what healthcare is actually for.


The Lesson From a NICU Nurse

Nora Lussier did not change Pamela’s life because she had the most advanced technology.

She changed her life because she paid attention.

She remembered.

She cared.

Technology can help healthcare professionals create more moments like that.

But only if we design technology around the human experience.

The goal is not a faster healthcare system.

The goal is a healthcare system where speed creates more room for compassion.


The Question Healthcare Leaders Avoid

Healthcare has spent decades asking:

“How can we make healthcare faster?”

Maybe we have been asking the wrong question.

The better question:

“How can we make healthcare more meaningful?”

Speed matters.

Efficiency matters.

Financial sustainability matters.

But healthcare is different from every other industry because the product is not a transaction.

The product is trust.

A patient does not remember every billing interaction.

They remember:

  • the physician who listened when they were afraid
  • the nurse who stayed when things were uncertain
  • the healthcare team that treated them like a person

The story of Nora Lussier and Pamela is powerful because it reveals something technology alone cannot create:

Human commitment.

The challenge for healthcare leaders is not replacing that human connection.

It is protecting it.


The Biggest Healthcare Innovation May Be Giving Doctors Back Their Time

We often define innovation by what is new.

A new drug.

A new device.

A new algorithm.

A new platform.

But perhaps the most important innovation is something much simpler:

Giving physicians time back.

Time is the most limited resource in healthcare.

Not data.

Not information.

Time.

A physician with five extra minutes can:

  • explain a diagnosis better
  • answer a family’s question
  • catch a concern earlier
  • build trust

Five minutes may seem small.

For a patient, it can change everything.


Practical Framework: How Physician-Owned Clinics Can Start Today

Step 1: Identify Your Administrative Friction Points

Before buying software, measure reality.

Ask your team:

  • What tasks consume the most time?
  • Where do errors happen?
  • What creates the most frustration?
  • What delays patient care?

The people closest to the workflow usually know the answer.


Step 2: Find the Hidden Cost of Manual Processes

Many practices calculate financial costs.

Few calculate human costs.

Consider:

How many physician hours are spent on administrative work?

How many staff hours are spent correcting preventable mistakes?

How much patient-facing time is lost?

The hidden cost is often larger than expected.


Step 3: Improve Data Before Adding Complexity

A common mistake:

Adding technology to a broken process.

Better approach:

Improve the information flow first.

Focus on:

  • complete documentation
  • consistent workflows
  • accurate patient information
  • communication between teams

Better data creates better decisions.


Step 4: Automate the Right Things

Not every task needs automation.

The best candidates are:

Repetitive tasks

Examples:

  • routine checks
  • administrative reviews
  • information organization

Pattern recognition

Examples:

  • identifying missing elements
  • detecting unusual trends

Workflow assistance

Examples:

  • reminders
  • prioritization
  • task management

The goal is not replacing people.

The goal is removing unnecessary friction.


Step 5: Measure What Actually Improves

Successful transformation requires measurement.

Track:

Revenue Cycle Metrics

  • claim acceptance rate
  • denial frequency
  • payment delays
  • accounts receivable trends

Operational Metrics

  • administrative hours
  • workflow completion time
  • staff workload

Human Metrics

  • physician satisfaction
  • employee retention
  • patient experience

A practice is healthy when both the numbers and the people improve.


Healthcare Technology Pitfalls Leaders Should Avoid

Pitfall #1: Chasing the Latest Technology

The newest tool is not always the best solution.

The right question:

“What problem are we solving?”

Not:

“What technology can we buy?”

 

Pitfall #2: Treating AI as Magic

AI is powerful.

But it is not a replacement for leadership.

Poor processes combined with AI often create faster poor processes.

Strategy comes first.

 

Pitfall #3: Ignoring Frontline Feedback

Healthcare workers experience problems every day.

Listen to:

  • physicians
  • nurses
  • medical assistants
  • billing teams
  • patients

Innovation without frontline input often fails.


Legal Considerations for Healthcare AI and Billing Transformation

Healthcare innovation requires responsibility.

Physician leaders should consider:

Privacy and Security

Protect:

  • protected health information
  • patient records
  • access permissions

 

Regulatory Compliance

Automation should support compliance with:

  • billing requirements
  • documentation standards
  • healthcare regulations

 

Human Oversight

AI systems should assist decisions.

They should not remove accountability.

Healthcare requires judgment.


Ethical Considerations: The Question Behind Every Innovation

Before implementing technology, ask:

Does this make healthcare better for patients?

Not simply:

Does it reduce cost?

Does it increase speed?

Does it improve efficiency?

Those matter.

But healthcare exists because human beings need care.


Frequently Asked Questions

Q: Is AI going to replace medical billing teams?

No.

The future is collaboration.

AI can help reduce repetitive work.

Experienced professionals provide judgment, oversight, and problem-solving.

 

Q: Why should physicians care about billing if they are focused on medicine?

Because billing operations influence practice sustainability.

A financially healthy practice can invest more in:

  • staff
  • technology
  • patient access
  • quality improvement

 

Q: Should every clinic immediately adopt AI?

No.

The first step is understanding your workflow problems.

Technology should solve a need.

Not create another system to manage.

 

Q: What is the biggest opportunity for healthcare AI?

The biggest opportunity is not replacing physicians.

It is removing the administrative burden that prevents physicians from practicing at their highest level.


Myth Busters: Healthcare Transformation Edition

Myth: Technology makes healthcare less personal

Reality:

The right technology creates more time for personal connection.

The problem is not technology.

The problem is technology designed without understanding people.

 

Myth: More documentation equals better care

Reality:

Better documentation improves care.

Unnecessary documentation burden does not.

Quality matters more than quantity.

 

Myth: Independent practices cannot compete with large healthcare systems

Reality:

Small practices have one major advantage:

Relationship.

Independent physicians often know their patients better.

The opportunity is using technology to strengthen that advantage.


Future Outlook: The Next Healthcare Revolution

The next decade of healthcare will not be defined only by scientific breakthroughs.

It will be defined by whether healthcare can combine:

Artificial intelligence with human intelligence.

Automation with empathy.

Efficiency with trust.

The winners will not be organizations that automate everything.

They will be organizations that automate the unnecessary while protecting the meaningful.

Healthcare’s future is not less human.

It is more human.


Final Thoughts: Three Ideas Healthcare Leaders Should Remember

1. The biggest healthcare bottleneck may not be medical knowledge. It may be administrative complexity.

We already know many ways to improve care.

The challenge is creating systems that allow clinicians to apply that knowledge.

 

2. Technology should return physicians to the reason they entered medicine.

The goal of innovation is not replacing doctors with machines.

The goal is freeing doctors from tasks machines can handle.

 

3. The future belongs to healthcare organizations that remember people, not just data.

The story of a nurse adopting her patient reminds us:

Healthcare is ultimately a relationship.

Everything else supports that relationship.


About the Author

Dr. Daniel Cham is a physician and medical consultant specializing in medical technology consulting, healthcare management, and medical billing innovation.

He is the founder of OnnX, an AI-powered medical billing SaaS platform focused on helping small and medium-sized physician practices reduce administrative complexity and improve operational efficiency.

Dr. Cham writes about the intersection of:

  • healthcare innovation
  • artificial intelligence
  • physician entrepreneurship
  • medical practice transformation
  • patient-centered care

His mission is to help healthcare professionals navigate change while protecting the human connection at the center of medicine.

Connect with Dr. Cham on LinkedIn to learn more.


Disclaimer / Note

This article is intended for educational and informational purposes only. It provides general perspectives on healthcare operations, technology, and innovation.

It should not be interpreted as legal, medical, compliance, or financial advice.

Healthcare professionals and organizations should consult appropriate experts regarding their specific situations and regulatory responsibilities.


Continue the Conversation

Healthcare innovation requires more than new technology.

It requires better questions, better systems, and better conversations.

Explore additional perspectives, practical strategies, and behind-the-scenes insights about healthcare operations and innovation:

Knowledge creates progress.

Start your journey here.


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A practical guide for physicians and healthcare leaders navigating operational challenges.


Join the Movement

If this article sparked a new perspective, consider:

♻️ Reposting to help physicians and clinic owners rethink how billing, technology, and workflow design influence patient care.

Small changes create better systems.

Better systems create better healthcare.


#HealthcareInnovation #PhysicianLeadership #MedicalBilling #HealthcareAI #HealthTech #DigitalHealth #PhysicianEntrepreneur #HealthcareTransformation #MedicalPracticeManagement #RevenueCycleManagement #PatientCenteredCare #FutureOfMedicine #HealthcareLeadership #AIinHealthcare #IndependentPhysicians


References

1. American Medical Association (AMA) — Reducing Physician Administrative Burden

The AMA has extensively studied physician burnout and administrative complexity, highlighting how excessive paperwork, regulatory requirements, and inefficient workflows contribute to physician frustration and reduced time with patients. The organization advocates for solutions that allow physicians to focus more on clinical care.

2. Agency for Healthcare Research and Quality (AHRQ) — Patient-Centered Care and Healthcare Quality Improvement

AHRQ provides evidence-based resources focused on improving healthcare quality, safety, communication, and patient-centered care. Its research reinforces the importance of designing healthcare systems around patient needs rather than only operational processes.

3. National Academy of Medicine (NAM) — Clinician Burnout and Healthcare System Transformation

The National Academy of Medicine has examined clinician burnout as a system-level challenge, emphasizing that improving healthcare environments requires addressing workflow design, organizational culture, and administrative burden rather than placing responsibility solely on individual clinicians.

Wednesday, July 22, 2026

A Child Waited 8 Years for a Heart. Most Clinics Wait 60 Days to Get Paid. Both Reveal the Same Healthcare Problem.

 


"One of the essential qualities of the clinician is interest in humanity, for the secret of the care of the patient is in caring for the patient." — Francis W. Peabody, MD, The Care of the Patient, Journal of the American Medical Association (JAMA), March 19, 1927.


Healthcare Doesn't Have a Technology Problem. It Has a Friction Problem.

That statement will probably irritate some people.

Good.

Because most of healthcare is trying to solve the wrong problem.

Last week, healthcare media was filled with stories about AI, automation, digital transformation, reimbursement changes, and the next generation of healthcare technology.

Then a different story appeared.

A 9-year-old boy named Dáithí Mac Gabhann finally received a heart transplant after waiting eight years.

Eight years.

While healthcare executives debate dashboards and AI roadmaps, one family spent nearly a decade waiting for a phone call that would determine their son's future.

The story is emotional.

But it is also instructive.

Because hidden inside this transplant story is a lesson most healthcare leaders completely miss.

The biggest problem in healthcare is rarely lack of innovation.

The biggest problem is friction.


The Contrarian Truth Nobody Wants to Admit

Healthcare leaders love talking about breakthroughs.

Patients experience bottlenecks.

Investors celebrate innovation.

Physicians fight workflows.

Executives buy software.

Staff members re-enter the same information three times.

Everyone talks about transformation.

Nobody talks about friction.

Yet friction quietly determines outcomes every single day.

The transplant system depends on reducing friction between:

  • Donors
  • Families
  • Hospitals
  • Surgeons
  • Coordinators
  • Transportation networks
  • Clinical teams

Every unnecessary delay creates risk.

Every communication breakdown matters.

Every missing piece of information matters.

Now ask yourself:

How different is that from medical billing?


Why This Matters to Every Physician Owner

Most physicians think their biggest financial problem is reimbursement.

I would argue it is something else.

Revenue friction.

The claim denial isn't the problem.

The denial is the symptom.

The missing documentation is the symptom.

The coding error is the symptom.

The appeal is the symptom.

The delayed payment is the symptom.

The real disease exists upstream.

And healthcare keeps treating symptoms instead of causes.


A Hot Take About Medical Billing

Medical billing is not a billing problem.

It's a data quality problem.

Read that again.

Most healthcare organizations spend enormous energy optimizing what happens after patient care.

Very few optimize what happens before the claim is created.

That is backwards.

Imagine a cardiologist treating heart failure by focusing only on swelling while ignoring the failing heart.

That would be absurd.

Yet healthcare organizations routinely do the operational equivalent.

They invest heavily in:

  • Collections
  • Appeals
  • Denial management
  • Recovery services

Instead of fixing the upstream documentation and workflow failures generating those problems.


The Most Expensive Word in Healthcare

The most expensive word in healthcare isn't "cancer."

It isn't "malpractice."

It isn't even "denial."

The most expensive word is:

Rework.

Rework means:

  • Entering information twice
  • Correcting coding errors
  • Chasing authorizations
  • Appealing denials
  • Hunting for documentation
  • Fixing preventable mistakes

Healthcare doesn't measure rework well.

If it did, many organizations would discover that their largest hidden expense isn't labor.

It's inefficiency.


What Most Healthcare Leaders Miss

Dáithí's story became international news because people saw a child.

Not a process.

Not a system.

Not a policy.

A child.

That's important.

Because healthcare leaders often fall in love with systems and forget that patients experience stories.

Patients never say:

"My healthcare journey suffered due to fragmented operational architecture."

They say:

"I waited."

"I was confused."

"I couldn't get an answer."

"I didn't know what was happening."

Every operational failure eventually becomes a human experience.


Three Experts. Three Lessons.

Dr. Atul Gawande

Dr. Gawande's work repeatedly demonstrates a simple truth:

Complex systems fail because of small failures.

Not large ones.

Checklist failures.

Communication failures.

Process failures.

Tiny breakdowns compound.

Lesson

Small friction creates massive consequences.


Dr. Eric Topol

Topol has spent years discussing healthcare technology's promise.

Yet his underlying message remains remarkably consistent:

Technology should serve clinicians.

Not burden them.

Lesson

The best technology is often invisible.

If users constantly notice the technology, it may already be failing.


Dr. Robert Wachter

One of healthcare's leading digital transformation thinkers.

His work highlights a reality many organizations learn too late.

Implementation matters more than innovation.

Lesson

Bad workflows digitized remain bad workflows.


A Statistic Every Physician Should Remember

Studies suggest physicians may spend nearly two hours on administrative work for every hour spent with patients.

Think about how extraordinary that is.

Imagine telling a surgeon:

For every hour you operate, you must spend two additional hours explaining why you operated.

No other profession would tolerate that ratio.

Healthcare normalized it.


The Healthcare Industry's Favorite Addiction

Complexity.

Healthcare has become addicted to complexity.

More forms.

More clicks.

More approvals.

More vendors.

More software.

More intermediaries.

More dashboards.

More meetings.

More bureaucracy.

And then we wonder why physicians burn out.

Complexity is often mistaken for sophistication.

It isn't.

Many times it is simply inefficiency wearing a suit.


The Organ Donation Lesson Nobody Is Talking About

Most coverage focuses on the successful transplant.

That's understandable.

But the deeper lesson may be elsewhere.

Dáithí's family didn't merely wait.

They organized.

Advocated.

Educated.

Mobilized.

Changed public awareness.

Influenced policy.

One family generated more public engagement than many healthcare campaigns.

Why?

Because stories move people.

Data informs.

Stories transform.


The Billion-Dollar Mistake

Healthcare organizations spend billions optimizing downstream processes.

The greatest opportunity often sits upstream.

At the moment information enters the system.

Because every downstream workflow depends on upstream accuracy.

Bad data creates:

  • Bad claims
  • Bad decisions
  • Bad reporting
  • Bad forecasting
  • Bad patient experiences

The quality of healthcare operations ultimately depends on the quality of healthcare information.


What This Means for Physician-Owned Practices

If you're running a clinic today, ask yourself:

Where is friction hiding?

Not where is revenue leaking.

Where is friction hiding?

Those are often the same answer.

Look for:

  • Repeated tasks
  • Repeated errors
  • Repeated denials
  • Repeated phone calls
  • Repeated corrections

Patterns reveal friction.

Friction reveals opportunity.


The Future of Healthcare Will Reward Simplicity

Everyone predicts AI will transform healthcare.

I agree.

But not for the reason most people think.

The winners won't be the organizations with the most AI.

The winners will be the organizations with the cleanest data and simplest workflows.

AI amplifies systems.

Good systems get better.

Broken systems get amplified.


Final Thoughts: The Story Behind the Story

A child waited eight years for a heart.

That is the headline.

But the deeper story is about what happens when healthcare friction is removed.

A donor family says yes.

A clinical team coordinates care.

A community supports a cause.

A system works.

A life changes.

Healthcare leaders should pay attention.

Because every organization has its own version of friction.

Every clinic.

Every hospital.

Every payer.

Every health technology company.

The question isn't whether friction exists.

The question is whether you're willing to see it.

And in healthcare, what we fail to see often becomes what patients are forced to feel.


Frequently Asked Questions

What is the biggest cause of claim denials?

Common causes include documentation gaps, coding inaccuracies, authorization issues, and eligibility errors.

How can small clinics improve revenue cycle performance?

Start by measuring denial rates, standardizing documentation, and identifying workflow bottlenecks.

Can AI completely eliminate claim denials?

No. AI can help reduce administrative burden, but underlying documentation and data quality remain critical.

Why do physicians experience revenue leakage?

Revenue leakage often occurs through missed charges, documentation issues, coding errors, and inefficient workflows.

What should clinic owners measure first?

Denial rate, clean claim rate, days in A/R, and net collection rate.


About the Author

Dr. Daniel Cham is a physician and medical consultant with expertise in healthcare technology, medical practice management, operational efficiency, and medical billing. His work focuses on translating complex healthcare challenges into practical strategies that help physicians, clinic owners, and healthcare organizations improve performance while maintaining focus on patient care.

Connect with Dr. Cham on LinkedIn to learn more.


Important Note

This article is intended for educational and informational purposes only. It provides a general discussion of healthcare operations, revenue cycle management, and industry trends. It should not be interpreted as legal, medical, financial, or regulatory advice. Readers should seek guidance from qualified professionals regarding their specific circumstances.


What if claim denials aren't a billing problem at all?

What if they're evidence of a deeper data quality problem hiding inside healthcare operations?

I'm curious:

Where is the biggest source of friction in your organization today?

Share your perspective below.


Continue the Discussion

Healthcare advances when clinicians, operators, innovators, and patients share what works.

Explore practical insights, operational strategies, and real-world perspectives that help improve healthcare delivery, strengthen practice performance, and support meaningful innovation.

Knowledge creates momentum. Learning creates change. Progress starts with the next insight.

PS: A complimentary resource is available in the Featured section of my LinkedIn profile. No signup required.

Get Involved

What is the biggest source of operational friction in your practice today?

Share your experience in the comments.

If this perspective resonates, consider ♻️ reposting to help other physicians and clinic owners rethink how billing and operational workflows impact patient care.


References

  1. Dáithí Mac Gabhann receives long-awaited heart transplant after years of advocacy and waiting for a donor heart.
    https://www.thesun.ie/health/17331920/familys-joy-boy-rare-condition-heart-transplant/
  2. American Medical Association resources on physician administrative burden and practice sustainability.
    https://www.ama-assn.org
  3. Medical Group Management Association resources on revenue cycle performance and physician practice operations.
    https://www.mgma.com

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