Revenue integrity is one of those areas that everyone agrees is important, but very few organizations feel like they have fully under control.
At a high level, the idea sounds simple. Providers negotiate contracts with payers that define how services will be reimbursed. Claims are submitted, payments are processed, and reimbursement is expected to align with those terms.
In practice, it’s rarely that clean.
Once a claim is processed, providers receive remittance data that shows what was actually paid. At that point, someone has to determine whether that payment matches what was agreed to in the contract. In many organizations, that process is still largely manual, requiring teams to interpret contracts, review payment files, and compare the two line by line.
That’s where the problem really starts to surface.
The gap between what should happen and what does
One of the challenges with revenue integrity is that discrepancies are not always obvious. Contracts can be complex, often spanning dozens or even hundreds of pages, with nuanced rules around reimbursement. Payment data, on the other hand, comes through in structured formats that require interpretation.
Bridging those two worlds is not straightforward.
In many cases, organizations rely on periodic audits or retrospective reviews to identify issues. They may look back over a large volume of claims and determine where reimbursement did not align with expectations. By the time those discrepancies are identified, the work required to investigate and resolve them can be significant.
The question is how consistently discrepancies are being identified and addressed.
Why the industry focuses on prevention first
A significant portion of the revenue integrity ecosystem is focused on getting things right before a claim is ever submitted. That means ensuring coding accuracy, bundling services correctly, and applying the right rules upfront so that reimbursement is processed correctly the first time.
That approach makes sense. Fixing issues before submission is almost always more efficient than chasing them down afterward. But even with strong front-end processes, things still get missed.
Contracts evolve and rules are interpreted differently. Edge cases occur. And across thousands of claims, even small discrepancies can add up.
The role of a back-end safety net
This is where a different layer of revenue integrity comes into play.
Instead of focusing only on prevention, some organizations are starting to look more closely at what happens after payment is received. The goal is not to replace front-end controls, but to act as a safety net.
At its core, that means taking the payment data and comparing it directly to the contract terms to determine whether reimbursement aligns with expectations. When a variance is identified, it can be flagged for review and, if needed, escalated through a follow-up process.
Conceptually, it’s simple. But the volume of transactions, the complexity of contracts, and the need for timely follow-up all introduce friction. In many environments, this still requires significant manual effort, which limits how consistently it can be applied.
Why scale is the real challenge
The underlying issue is not that organizations don’t care about revenue integrity. It’s that the work required to validate reimbursement across all claims is difficult to scale.
A large health system or enterprise organization may have hundreds of contracts and process high volumes of transactions. Even identifying where to focus can be difficult without a clear view of where discrepancies are occurring.
As a result, teams often prioritize based on what they can realistically manage, rather than having complete visibility into where revenue leakage may be happening.
That creates a gap between what is theoretically possible and what is operationally feasible.
Moving toward more continuous validation
What’s starting to change is the ability to approach this problem in a more continuous way.
Instead of relying solely on retrospective audits, organizations are exploring ways to identify discrepancies closer to when they occur. That shift has the potential to reduce the effort required to investigate issues and improve the likelihood of recovery.
It also changes how revenue integrity is viewed, and is seen more as part of an ongoing process of monitoring and validation rather than an occasional audit function.
A simple question with real implications
At the end of the day, the most important question is a simple one: Do you actually know if you’re being reimbursed correctly?
For many organizations, the honest answer is that they know in some cases, but not consistently across all claims. And when discrepancies are identified, it often requires significant effort to trace them back and take action.
Even recovering a small percentage of missed reimbursement across a large volume of claims can have a meaningful financial impact. But getting to that point requires visibility, consistency, and the ability to act on what’s found.
Revenue integrity is not a new concept. What’s changing is the expectation that it can be managed more proactively, with better insight into what’s happening across the entire lifecycle of a claim.
Photo: Viorika, Getty Images
Elevsis Delgadillo is the Senior Vice President of Customer Success at Keenstack, the professional services consulting firm that helps companies unlock the full potential of ServiceNow. In this role, he leverages his deep healthcare IT expertise to ensure exceptional client outcomes.
This post appears through the MedCity Influencers program. Anyone can publish their perspective on business and innovation in healthcare on MedCity News through MedCity Influencers. Click here to find out how.
