Elena Givens, MHSA, RHIA, FACHDM

Most physicians didn't choose medicine because they wanted to become experts in coding, billing, and reimbursement. Yet in today's environment, the financial health of a practice is directly tied to the quality of clinical documentation created during every patient encounter.

One of the biggest misconceptions in healthcare is that billing problems begin when a claim is denied. The reality is that most revenue loss starts much earlier, at the point of documentation.

Here are seven common pitfalls physicians should be aware of.

1. Assuming Someone Else Will Catch the Mistake

Many providers assume that if documentation is incomplete or an E/M level is selected incorrectly, a coder or billing specialist will identify the issue before the claim is submitted.

Unfortunately, that's not always the case.

Many physician practices require providers to select their own E/M levels, while coding teams perform only targeted reviews or audits of a percentage of encounters. Even practices that outsource billing to a third-party revenue cycle company often discover that the billing company can only work with the documentation they've been given.

A billing company cannot create medical necessity.

A coder cannot add complexity that isn't documented.

And an auditor won't give credit for clinical work that wasn't captured in the note.

Bottom line: The physician remains the most important contributor to coding accuracy and reimbursement integrity.

2. Undercoding Because It Feels Safer

Many physicians have been taught to be conservative when coding.

While the intention is understandable, chronic undercoding can create significant financial and operational challenges.

When physicians consistently select lower levels than the documentation supports, they may be:

• Reducing legitimate reimbursement
• Misrepresenting patient complexity
• Creating inaccurate productivity benchmarks
• Distorting quality and risk-adjustment reporting

Coding accurately is not about maximizing reimbursement. It's about accurately reflecting the care delivered.

3. Failing to Capture the Full Clinical Story

A diagnosis may be technically correct while still failing to communicate the patient's true complexity.

Consider the difference between documenting:

• Diabetes versus diabetes with complications
• Chronic kidney disease versus CKD Stage 4
• Heart failure versus systolic or diastolic heart failure

The additional detail isn't simply a coding requirement. It helps tell the patient's complete clinical story and ensures the record accurately reflects the severity of illness being managed.

4. Believing Technology Automatically Protects You

Electronic health records have improved efficiency, but they have also introduced new risk.

Copy-forward features, auto-populated fields, smart phrases, and templates save valuable time. However, they can also perpetuate outdated information and create documentation that fails to match what occurred during a specific encounter.

Auditors increasingly focus on whether documentation reflects the services provided on that date of service, not how efficiently the note was generated.

Technology is a tool, not a compliance strategy.

5. Expecting Your Billing Company to Save Lost Revenue

Outsourcing billing can be an excellent operational decision.

However, many physicians mistakenly believe that a third-party billing company automatically solves coding and documentation problems.

Billing companies typically excel at:

• Claims submission
• Payment posting
• Follow-up and collections
• Denial management

What they generally cannot do is reconstruct clinical decision-making after the fact.

If documentation lacks specificity, medical necessity, or support for the selected E/M level, even the best billing company may have limited options.

Revenue cycle success still starts with accurate clinical documentation.

6. Using AI Without Human Oversight

Artificial intelligence is becoming increasingly common in physician practices.

AI can help:

• Identify missing diagnoses
• Detect documentation inconsistencies
• Suggest coding opportunities
• Improve charge capture workflows
• Flag potential compliance concerns

These are meaningful advantages.

However, AI should enhance clinical and coding expertise, not replace it.

AI tools do not examine patients.

AI tools do not understand clinical nuances the way physicians and experienced coding professionals do.

AI can identify patterns and opportunities, but a qualified human must validate those findings before they become part of the permanent medical record.

The future isn't AI alone. It's AI plus experienced clinicians and coding professionals working together.

7. Ignoring Small Revenue Leaks

The most significant financial losses rarely come from one major mistake.

Instead, they result from dozens of small issues occurring repeatedly:

• Missed diagnoses
• Unsupported E/M levels
• Incomplete documentation
• Missed charges
• Lack of specificity

Individually, these issues may seem insignificant.

Collectively, they can have a substantial impact on practice profitability over the course of a year.

Final Thought

The strongest defense against denials, audits, and lost revenue isn't found in your billing software, your outsourced billing vendor, or even your coding team.

It's found in the documentation you create every day.

When physicians view documentation as part of patient care rather than an administrative burden, the benefits extend far beyond reimbursement. Better documentation supports compliance, improves care continuity, strengthens audit defensibility, and ensures the work being performed is accurately represented.

After all, no one understands the patient's story better than the physician who wrote it.

Need Advice on Improving Documentation, Coding, or Billing Processes?

Whether you're evaluating your E/M coding practices, improving documentation quality, preparing for increased payer scrutiny, or exploring how AI can be used responsibly in your practice, I'd be happy to be a resource.

Small documentation improvements can often lead to meaningful gains in compliance, provider efficiency, and revenue integrity.

Elena Givens, MHSA, RHIA, eFACHDM

Director of Advisory Services, Premier Inc.

CEO and Founder of Healthcare Dollar, LLC

🔗 LinkedIn: Elena Givens, MHSA, RHIA, eFACHDM

Questions, concerns, or simply looking for a second opinion? Feel free to connect with me on LinkedIn. I'm always happy to discuss documentation improvement opportunities, coding challenges, compliance concerns, AI governance, and revenue cycle best practices.

Disclaimer

The commonly referenced "70/30" provider-to-coder review split used in this article is intended as an illustrative example only. Actual coding review rates vary significantly based on practice size, specialty, staffing models, compliance programs, payer mix, and whether coding functions are performed internally or through a third-party billing vendor. Many encounters submitted by physicians may never receive a pre-bill coding review. Physicians should consult their organization's coding and compliance leadership to understand their specific review processes and risk exposure.