< + > Under Pressure: Why Pre-Bill Prevention is Now Non-Negotiable in Coding and Denial Management

The following is a guest article by Ritesh Ramesh, CEO at MDaudit

Healthcare organizations are operating in an environment defined by financial pressure, regulatory scrutiny, and rapid shifts in payer behavior. Leadership teams are expected to maintain financial stability, protect compliance, and support patient care with fewer resources and less margin for error.

These trends point to a clear reality: revenue risk is no longer isolated to downstream denials or post-payment reviews. It now runs through the entire revenue cycle, spanning charge capture, documentation, coding, billing, and payer response. Organizations relying on retrospective reviews and siloed oversight are increasingly exposed to lost revenue, audit risk, and operational strain.

Payer tactics continue to evolve and grow more aggressive. Policies are becoming more complex and less predictable. Enforcement is tightening as payers rapidly expand their use of artificial intelligence (AI) to automate reviews, spot anomalies, and trigger audits. Combine that with frequent unannounced policy updates and mid-cycle contract changes, and even fully compliant claims can be denied, including 14.4 million pre-approved claims that are rejected annually.

This puts HIM and coding teams directly in the crosshairs.

The mid-cycle — documentation, coding, and billing — is where revenue is captured or permanently lost. In fact, it has become the most critical point in revenue cycle management (RCM), one that can no longer be managed effectively with reactive tactics alone.

Reactive Denial Management Strategies are No Longer Sustainable

Denial management approaches that rely on reworking rejected claims have become increasingly unsustainable. Denial volumes, complexity, and costs are rising faster than healthcare organizations can absorb, in turn driving up administrative costs, straining staff, and eroding margins.

Findings from the most recent MDaudit Benchmark Report highlight the scale of the challenge confronting HIM and coding leaders:

• Average lag days for initial claims response by commercial payers increased across all care settings.
• Both the average denied amount and denial volume increased for Medicare Advantage (MA) plans.
• Average amount of RFI and medical necessity denials increased by 70% across all settings.
• Coding-related denials increased 26% across professional and hospital outpatient settings.
• Total amount at-risk and audit requests per customer rose by 30% for external payer audits.

The rising cost of reworking denials adds pressure, now averaging $25 per claim for practices and $181 for hospitals. With denial volumes climbing, these per-claim costs quickly reach millions of dollars annually. As a result, many provider organizations must prioritize which claims to rework, leading hospitals to lose an average of $5 million annually from unresolved denials — up to 5% of net patient revenue.

These trends demand a redefined approach to revenue integrity; one centered on solutions that unite revenue growth and risk mitigation into a single, disciplined framework.

How Technology is Redefining Revenue Integrity

When revenue integrity solutions are supported by connected technology, real-time data, and automated workflows, it shifts from a reactive function to a proactive, executive-level capability. Leaders gain early visibility into risk, clearer insight into performance trends, and the ability to act before issues escalate into financial loss or regulatory exposure.

The organizations that realize the strongest outcomes are those that break down silos between compliance, coding, revenue cycle, and clinical teams. They rely on data to drive objective decision-making, prioritize high-risk activity, and align teams around shared accountability. They are also increasing their use of risk-based audits, expanding pre-bill reviews, and leveraging technology to protect revenue with foresight rather than hindsight.

For healthcare revenue cycle leaders, revenue integrity is a financial performance strategy and not just a department-level operational concern. It directly impacts operating margins, forecasting accuracy, workforce planning, and capital decisions. Therefore, executives need revenue integrity solutions that provide:

• Clear visibility into financial risk. With total at-risk revenue from external payer audits increasing year over year, early detection of risk exposure is essential. A connected revenue integrity platform surfaces high-risk encounters, denial drivers, documentation gaps, and payer patterns before they scale.
• Proactive denial prevention. Reactive denial management is costly and inefficient. Pre-bill oversight and predictive monitoring allow organizations to correct issues before claims are submitted, protecting reimbursement and reducing administrative burden.
• Stronger audit readiness and accountability. Executive teams require centralized tracking, documentation, and response management to maintain control over exposure and defend reimbursement effectively.
• Data-driven decision-making across departments. When compliance, coding, billing operations, clinical documentation, and finance operate from siloed systems, leaders lack a unified view of performance. Technology-enabled revenue integrity solutions create shared accountability, measurable outcomes, and consistent reporting across teams.
• Sustainable financial performance. Revenue growth and risk mitigation are inseparable. Executives need balanced solutions that protect margin while reducing regulatory risk.

The Influence of Meaningful—Not Artificial—AI

No discussion of technology’s role in advancing revenue integrity is complete without addressing artificial intelligence. Health system CFOs face the same paradox as payers: AI is both the problem and the most powerful solution. The organizations that move fastest from theory to execution, delivering measurable AI-driven ROI, will define their financial resilience for years to come.

Successful AI integration facilitates true collaboration between people and technology, embedding augmented intelligence as a horizontal layer throughout the revenue cycle platform rather than layering it on as an afterthought. This creates a meaningful and responsible AI framework; a deliberate, outcomes-driven approach designed to deliver measurable ROI, not automation for its own sake or AI for novelty or competitive positioning.

For example, eValuator, part of MDaudit’s AI-powered platform that automates audit workflows and interrogates pre-bill charges across facilities, specialties, and multiple EHR and billing systems, delivered more than $500 million in annual ROI by doing the heavy analytical lifting and leveraging automation while keeping humans in the loop.

What AI should not do is:

• Make autonomous decisions that bypass clinical or compliance judgment.
• Add complexity in the name of innovation.
• Replace the expertise of the professionals using it.

AI should amplify and augment expertise across every encounter, claim, and audit. It should serve the specific purpose of helping top healthcare RCM professionals work faster, see further, and make better decisions.

Revenue Integrity Redefined: From Reactive to Confident Control

The strongest outcomes of redefining revenue integrity emerge when silos between compliance, coding, revenue cycle, and clinical teams are broken down, and objective data drives prioritization, accountability, and cross-functional alignment. Case studies across multiple health systems consistently demonstrate what that looks like in practice:

• Expanded audit coverage without proportional increases in staffing.
• Measurable improvements in coding accuracy, significant reductions in denials.
• Early identification of multimillion-dollar risk exposure.
• Increased executive visibility through defensible benchmarking.

Organizations that treat revenue integrity as a mission-critical capability, supported by continuous monitoring and intelligent automation, are better equipped to handle payer complexity, workforce shortages, and regulatory demands. They move from reacting to denials to anticipating risk, from defending audits to preventing them, and from fragmented oversight to confident control.

About Ritesh Ramesh

Ritesh Ramesh is CEO of MDaudit, an award-winning, AI-powered continuous risk-monitoring platform and a trusted revenue integrity partner to healthcare organizations nationwide. As CEO, Ramesh is focused on driving growth and profitability for MDaudit with a customer-centric vision, strong team culture, and platform innovation. He has spent his entire career — which spans more than 22 years with leading professional services organizations — at the intersection of data, analytics, and emerging technologies, transforming business models across various retail and consumer-focused industries, including healthcare.