A Practical Guide for Physicians, RCM Leaders, and HIM Teams: Strengthening Coding Performance in a Complex Payer Environment

Clinical teams may deliver excellent care, but reimbursement does not always reflect it. Medical coding is often where the gap occurs, and small issues in documentation or code capture can lead to lost revenue or compliance risk.

In this article, we share common coding challenges we see across providers and practical ways to strengthen coding performance, whether internally or with external support.

Across the organizations we work with, those that consistently get coding right share a few habits:

• Coders with real specialty expertise for complex procedures
• Audits that happen on a schedule, not just when something breaks
• Denial analysis that ties directly back to coding patterns
• Payer intelligence and reference tools that stay current
• A clear wall between the people who code and the people who check the coding
• Automation used deliberately, with a human still reviewing the work

If any of these elements are inconsistent or missing, performance tends to drift over time.

Many payers are now using AI-driven claim review tools that automatically flag and deny claims at higher rates, often before a human ever reviews them. This has increased denial velocity and shortened response windows. Meanwhile, staffing shortages across HIM and revenue cycle teams persist, making it harder to keep up with both production demands and compliance oversight.

1. Managing Coding Entirely In-House

Full internal control sounds ideal. In practice, it comes with real strain:

• Specialty-certified coders are hard to find and harder to keep
• Daily production demands eat into the time set aside for audits
• Internal teams rarely have bandwidth left over for trend analysis
• Payer policy changes are tough to track consistently
• Denial data gets reviewed on its own, disconnected from the coding patterns driving it
• Teams end up reacting to AI-driven payer denials instead of getting ahead of them with better documentation

Over time, small issues such as missed add-on codes, modifier inconsistencies, or incomplete documentation can persist without visibility. Left unchecked, and combined with automated denials on one side and thin staffing on the other, they compound into backlogs, rework, and cash flow that lags behind where it should be.

If you are strengthening coding internally, consider:

• Conducting structured quarterly audits rather than ad hoc reviews
• Separating production coding from quality assurance functions
• Reviewing denial trends alongside modifier and procedure usage patterns
• Investing in updated CPT, ICD-10, NCCI, and payer-specific reference tools

These steps alone can materially improve performance.

2. Relying on Low-Cost Production Vendors

Some organizations outsource purely for cost reduction. While this may lower per-chart expenses, it can create gaps in specialty depth, audit rigor, and denial prevention.

If a vendor focuses solely on throughput, they may not identify:

• Missed ultrasound guidance codes such as 76937
• Documentation gaps affecting add-on codes such as 93657
• Bundling conflicts tied to modifier misuse
• Patterns of undercoding across high-volume services

Speed without oversight rarely holds up over time. It just moves the problem downstream.

3. Moving to AI-Only Coding Platforms

Autonomous coding platforms are increasingly part of the conversation, and for good reason. In predictable specialties, they can create meaningful efficiency gains and reduce turnaround time.

AI performs well in environments where:

• Code sets are standardized and predictable
• Documentation follows consistent templates
• Services are high-volume and low-complexity

In those scenarios, automation can improve speed and lower per-claim production costs.

Where organizations sometimes encounter challenges is when AI is treated as a complete replacement rather than a component of a broader coding strategy. Autonomous platforms can be less effective in areas that require nuanced clinical interpretation, including:

• Complex procedural specialties
• Subjective or variable documentation
• Rapid payer policy shifts
• Compliance audit preparation and defense

AI is not a magic bullet, but it is a powerful tool when deployed thoughtfully. The strongest results typically come from pairing automation with structured quality review, specialty expertise, and ongoing oversight. This balanced approach allows organizations to capture efficiency gains while maintaining compliance confidence and clinical accuracy.

A Real-World Example: What a Structured Review Can Reveal

A large independent electrophysiology practice approached us for a comprehensive coding review. Their physicians performed high-volume procedures, including pacemaker implants, cardioverter-defibrillator implants, and ablations for atrial fibrillation and supraventricular tachycardia.

Leadership believed their coding was generally sound. Still, they wanted a deeper analysis.

At their request, we reviewed an expanded sample of charts, examining both coding accuracy and documentation completeness.

What we found was not a widespread error. It was a missed opportunity.

The group was not consistently billing eligible codes, such as 76937 for ultrasound guidance. While the reimbursement per case was modest, the cumulative impact across a high procedural volume was significant.

We also evaluated documentation support for add-on codes such as 93657, ensuring charts clearly documented arrhythmia type, catheter placement, and procedural detail aligned with national guidelines.

We presented findings to the full provider group and conducted one-on-one reviews for physicians who wanted detailed feedback.

The outcome:

• More consistent capture of eligible codes
• Improved documentation habits
• Stronger compliance alignment
• Increased reimbursement tied to services already being delivered

The key takeaway is this: in high-volume specialties, small coding gaps repeated hundreds of times per year materially affect performance.

How We Support Organizations That Want More Structure

When provider groups want additional support, our focus isn’t just processing more charts faster. It’s strengthening the system underneath the work.

Specialty-aligned expertise. Our certified coders bring real experience in cardiology, orthopedics, surgery, radiology, OB/GYN, and other complex specialties. We look closely at diagnosis-to-procedure linkage, medical necessity alignment, modifier usage (25, 57, 59 among them), add-on code capture, and payer-specific policy requirements.

Structured audits and trend analysis. We run formal coding assessments that check for both undercoding and overcoding risk, then hand back clear, actionable findings.

Denial root cause review. We trace denial patterns back to the coding or documentation decisions driving them. In one case involving venous ablation and Doppler studies, applying modifier 59 along with the correct anatomical modifiers resolved bundling denials while keeping everything compliant.

Automation used thoughtfully. In specialties where it fits, we use the latest autonomous coding technology to speed things up without sacrificing accuracy. Through our partnership with Maverick, we reach an average direct-to-bill rate of roughly 80% for radiology claims. In high-volume radiology, where studies and documentation patterns are standardized, AI genuinely shines, especially for routine X-rays and MRIs.

For your team, that means faster claim submission, fewer manual touches per chart, and less strain on your internal staff. Whether we’re running production or supporting your existing team, the goal stays the same: steadier throughput, more predictable cash flow, and more time for your physicians and revenue cycle leaders to focus on what actually needs their attention.

At the same time, we never take the human element out. Certified coders stay essential for complex procedures, ambiguous documentation, compliance audits, and denial resolution. Our approach blends automation with expert review, so efficiency never comes at the cost of clinical nuance or compliance confidence.

Flexible ways to work together. Full outsourcing, partial production support, audit-only engagements, or education-focused partnerships. You keep the level of internal control that makes sense for you, while getting extra support exactly where it’s needed.

Questions Worth Asking Yourself

Whether you’re improving in-house or bringing in outside help:

• Do you actually have visibility into what’s being undercoded right now?
• Are your denial trends mapped back to specific coding behaviors, or reviewed in a vacuum?
• Is quality review kept separate from production expectations?
• Do you have specialty expertise that matches your most complex procedures?
• Is automation being applied strategically, with real oversight behind it?

Better coding doesn’t mean coding more aggressively. It means coding consistently, accurately, and with the documentation to back it up.

Final Perspective

Coding shouldn’t be something you only think about when a denial shows up. Done well, it supports the clinical excellence your team already delivers, keeps your finances stable, and gives you confidence in an audit.

If you strengthen audit discipline, align documentation with coding requirements, apply modifiers correctly, and use automation thoughtfully, you can materially improve reimbursement performance.

When you need more structure, deeper specialty expertise, or analytical support to get there, that’s where we come in. Our job is to make sure your coding reflects the full value of the care you provide.