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The Enduring Role of Billing Expertise in an Increasingly Automated Revenue Cycle
Rhett Burnham

Rhett Burnham

CEO, eAssist


Rhett Burnham is Chief Executive Officer of eAssist Dental Solutions. He joined eAssist’s executive leadership team in 2024 and has served as both COO and CEO, leading enterprise-wide initiatives focused on operational rigor, customer experience, organizational alignment, and scalable growth. Rhett brings more than 30 years of technology and software leadership experience, with a focus on building high-performing teams and delivering technology-enabled services that create meaningful value and peace of mind for dental practices.

The Enduring Role of Billing Expertise in an Increasingly Automated Revenue Cycle

Automation is a given in today’s dental practices in some form or another. It has reshaped task execution, providing greater speed, standardization, and throughput. An increasing number of point solutions are seeking to automate elements of the revenue cycle management process, from eligibility to aging follow-up.

Where Automation Fits into Dental Billing

There’s a lot of talk about automation replacing humans; however, we need to distinguish between where these tools are appropriate and where we still need human intervention.  

When it comes to revenue cycles, billing experts are essential to a smooth process. Revenue cycles are not just transactional systems; they are operational, financial, and communication ecosystems that still require human judgment.

If a claim is denied, an expert biller can review the clinical notes and make a judgment about what the payor is actually asking for. Based on that insight, they may talk with the clinician about adjusting the narrative or providing an intraoral photo that demonstrates where decay is occurring, for example. 

When you remove the expert judgment, you miss the small warning signs that turn into large write-offs. These mistakes cost time and money. You can only resubmit claims so many times. When they’re denied, patients are alerted and become frustrated. 

Automation Changes the Workflow, Not the Responsibility 

There’s a key distinction between automating tasks and managing outcomes. 

An automated system can complete discrete steps of a transaction, such as submitting a claim and posting a payment. But a task can be completed perfectly and still produce poor financial results. Dental billing requires ownership of outcomes, not just execution of each step in the process. 

Accountability for revenue integrity still needs to rest with people, not systems. For example, was the claim paid correctly? Was it paid on time according to your fee schedule instead of a downgraded version? Did you receive your preferred provider rate? There are a lot of nuances behind it. 

Automated systems tend to struggle with nuance, escalation, and context.

Dental billing may look repetitive and straightforward from the outside, but underneath, it’s a complex path. 

Operational Reality Inside the Revenue Cycle 

Revenue cycle work ranges from the predictable, like basic insurance verification and simple diagnostic claim submission, to the complex, like coordination of benefits and detailed specialty claims.  Automation struggles with these real-world variables, which can lead to incomplete or inconsistent clinical inputs and, ultimately, result in automatic claim rejections.

Expert dental billers are skilled at adapting ahead of these complexities to help prevent denials and delays. Their proactive approach helps minimize exceptions, reversals, and midstream changes before they disrupt reimbursement.

It is this process of stewardship that supports financial accuracy and long-term financial health. By overseeing the revenue cycle from end to end, billing experts can make strategic decisions that improve claim outcomes and strengthen reimbursement predictability. 

This helps with not just submitting clean claims and reducing patient portion errors, but also creates increased financial stability, office productivity, and patient satisfaction. 

Financial Stewardship vs. Transaction Processing 

Automation can support practices with streamlining certain tasks such as insurance verification and basic claim submission, but a human in the loop remains necessary. Automation optimizes transaction volume, while expertise optimizes yield. 

Early on, businesses envisioned AI replacing work. Now the conversation is shifting. 

It’s not just about AI anymore — It’s about people completing processes with AI and playing an integral role alongside it. This is when the multiplier effect comes in. This concept posits that where people are supported by the right tools and structure, it magnifies their output.  

Want a deeper look at how AI and expert billing teams work together to improve efficiency, reduce denials, and support stronger collections?

In other words, people aren’t just able to do more work but they can focus on expertise where it matters most.

This approach results in:

  • Reducing repetitive tasks
  • Improving quality
  • Solving more complex problems
  • Accelerating positive outcomes

To that end, the true value of billing expertise is in making strategic decisions about managing the entire revenue cycle. Expert-led financial oversight leads to:

  • Better prioritization to increase cash flow
  • Understanding revenue impact beyond individual claims
  • Strategic follow-up

Whether your billing experts are in-house or outsourced, this type of business model works best when the billing experts responsible for financial stewardship are held accountable for outcomes. Compensating people based on revenue outcomes, such as denial rates, days outstanding, and reimbursement write-offs, motivates them to drive better results. 

More importantly, experts must have revenue cycle experience so they can review and respond to these revenue outcome statistics. If the practice has a 75% collection rate, someone needs to own that outcome and understand how to improve performance. 

Communication Is the Most Underrated Revenue Function 

Revenue cycles involve constant communication with payors, internal teams, and patients. People often think of communication as a soft skill, but with dental billing, it’s a business imperative. 

Each time a payor denies a claim, this requires communication with the payor. Someone needs to see what’s needed, gather the right documentation, and potentially communicate with the clinical team. Having billing experts who understand the nuances of each practice and are well-versed in how to best communicate to move claims forward. 

Clear communication prevents confusion. Without it, practices are leaving money on the table.

Putting this communication to office managers is often not realistic. They’re juggling multiple patient-facing priorities. Sitting on hold, calling payors can detract from this work. Additionally, office managers often don’t have the revenue cycle experience to make strategic decisions when it comes to billing. 

Maintaining oversight

Providing oversight to AI-driven transactions is still crucial in dental billing. Practices remove human expertise too far from billing at their peril. We’ve seen this result in headaches, including:

  • Incomplete eligibility verification
  • Delayed issue detection
  • Reduced adaptability to payor behavior
  • Increased write-offs masked as efficiency

The Role of Expertise in a Modern Revenue Cycle

Revenue cycle expertise is a necessary part of a practice’s strategic infrastructure. Modern revenue cycles require fewer manual tasks, but stronger judgment.

Billing experts function as interpreters of payor behavior. By translating between systems and outcomes, they become guardians of consistency. This consistency in the face of ever-shifting factors keeps the revenue cycle on track. 

Conclusion

Automation is a powerful tool, but not a substitute for expertise. It can absolutely make your life easier, but when it comes to revenue cycle management, practices need consultative guidance to look at the situation holistically.

The most resilient revenue cycles are designed around accountability, adaptability, and insight. That’s why, as automation increases, the value of true billing expertise becomes more—not less—important.

Want a deeper look at how AI and expert billing teams work together to strengthen revenue cycle performance? Download the free AI Insights for 2026 eBook.

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