Healthcare organizations have traditionally built auditing and Revenue Integrity teams around volume.
How many charts can be reviewed? How many claims can be audited? How many coding errors can be identified? How much revenue can be recovered?
Those measures still matter. But they were largely designed for a healthcare economy in which the individual transaction was the primary unit of financial performance.
That environment is changing.
Jordan Johnson of Bridge Oncology describes the shift clearly:
“Healthcare is entering a new era where auditing individual CPT codes and documentation will no longer be the primary measure of financial success.”
The implication for healthcare leaders is significant.
Revenue Integrity teams cannot be designed only to process more volume. They have to be designed to protect more integrity.
Financial accountability is moving beyond the claim
The transition is already visible in national payment data.
In calendar year 2024, 44.9% of healthcare payments measured in the national Alternative Payment Model Measurement Effort were tied to payment arrangements that hold providers accountable for quality and cost of care. The survey represented more than 271 million people, or 87.5% of covered lives across the measured markets.
Source: 2025 Alternative Payment Model Measurement Effort, AHIP/Health Care Payment Learning & Action Network. Data reflect CY 2024.
The point is not that fee-for-service has disappeared.
It is that a substantial share of healthcare reimbursement now depends on something larger than whether an individual claim was technically correct.
CMS’s Transforming Episode Accountability Model, or TEAM, makes the change even more tangible. TEAM began January 1, 2026, and currently includes 716 participating hospitals. Participating hospitals are accountable for quality and spending from an included surgical procedure through 30 days after the patient leaves the hospital.
Hospitals still submit Medicare fee-for-service claims. But CMS evaluates actual episode spending against a target price and incorporates quality performance. Depending on the results and participation track, hospitals may earn additional payment or owe CMS repayment.
A perfectly coded surgical claim, therefore, does not necessarily mean the episode performed well.
That changes what Revenue Integrity must be capable of seeing.
Coding is not becoming less important
The shift toward value-based reimbursement does not diminish the importance of coding.
It expands what accurate coding is responsible for protecting.
Historically, coding has been closely associated with reimbursement: accurately representing the services performed and ensuring the claim reflects the care delivered.
That responsibility remains fundamental.
But coded clinical data now travels far beyond the individual claim. Organizations use that information to understand patient complexity, quality, utilization, provider performance, financial results, risk, and increasingly the data feeding analytics and automated systems.
Coding is becoming part of the organization’s data integrity infrastructure.
When documentation or coding is inaccurate, the consequence may extend beyond an overpayment, underpayment, denial, or compliance finding.
Inaccurate data can distort how an organization understands its patients and its own performance.
That makes experienced coding and documentation professionals more important—not less.
The opportunity is to connect their expertise to a broader enterprise view.
Instead of stopping at:
“Is this code correct?”
Revenue Integrity should increasingly ask:
“If this data is incorrect, what else does it affect?”
Build the team around risk—not chart volume
The traditional staffing question has often been:
How many auditors do we need for this volume?
The better question is becoming:
What capabilities do we need to protect this risk?
That requires connecting expertise that has historically lived in separate departments.
Coding and documentation professionals understand how the clinical record becomes coded, financial, and administrative data.
Clinical experts can determine whether variation in care or resource use is clinically justified.
Data and analytics professionals can identify patterns across thousands of encounters rather than relying primarily on isolated retrospective samples.
Compliance and financial professionals can connect findings to reimbursement, regulatory exposure, contracts, cost, and organizational risk.
Operational leaders can redesign workflows so the same findings do not continue appearing quarter after quarter.
And increasingly, technology and AI expertise will be needed to validate automated processes and determine whether systems making or recommending decisions can be trusted.
Not every person needs every skill.
The strength comes from the collective team.
Use technology to find the problem. Use people to solve it.
Johnson sees technology changing where experienced professionals create the most value:
“Routine retrospective chart reviews for coding errors will increasingly be automated through artificial intelligence, allowing healthcare professionals to focus on operational improvement rather than error detection.”
That does not mean the auditor disappears.
It means the work of the auditor changes.
Technology can scan large volumes of information, prioritize records, identify anomalies, and surface patterns.
Experienced professionals can then focus on questions that require context and judgment:
Why is this happening?
Is this variation clinically appropriate?
Is this an isolated error or a systemic problem?
What workflow produced it?
What other data is affected?
Who owns the corrective action?
How do we prevent recurrence?
The future auditor’s greatest contribution may not be finding one incorrect record.
It may be identifying the process responsible for the next 10,000.
Stop measuring people only by how many charts they touch
This requires a change in how organizations measure Revenue Integrity performance.
An auditor who reviews 100 charts and identifies ten errors creates value.
But an auditor who determines why those errors occurred, changes the underlying workflow, and prevents thousands of future errors may create significantly more value.
A productivity model focused primarily on charts reviewed can make the first activity appear more valuable.
That is the problem with building exclusively for volume.
Productivity still matters. But Revenue Integrity leaders should increasingly evaluate measures such as recurrence after corrective action, prevented revenue leakage, avoidable denial reduction, sustained compliance after re-audit, reduction in unexplained variation, and measurable operational improvement.
The executive question becomes:
Did this team make the organization more reliable?
Accountable care makes the workforce question more urgent
The Medicare Shared Savings Program shows the scale at which organizations are already being asked to manage performance beyond individual encounters.
In its initial 2012/2013 period, the program included 220 ACOs and approximately 3.2 million assigned beneficiaries. By 2026, CMS reports 511 Shared Savings Program ACOs serving 12.6 million people with Traditional Medicare.
Source: Centers for Medicare & Medicaid Services, Shared Savings Program Fast Facts, January 1, 2026.
There is real financial accountability behind that growth.
For performance year 2024, the most recently reconciled year, CMS reports that Shared Savings Program ACOs earned $4.1 billion in shared savings while saving Medicare $2.5 billion. In 2026, 82.8% of Shared Savings Program ACOs are participating in tracks that CMS says meet the criteria for an Advanced Alternative Payment Model.
Organizations operating in this environment need teams capable of understanding performance across patients, episodes, providers, settings, cost, and time—not simply whether each individual transaction was technically correct.
Revenue Integrity has to see the system
Johnson describes the future audit this way:
“The future audit will examine clinical variation, cost, outcomes, workflow efficiency, and resource utilization across the enterprise.”
That is ultimately the workforce challenge.
Revenue Integrity cannot function only as the downstream department that checks whether someone else performed the transaction correctly.
It has to help connect:
Clinical care → Documentation → Coding → Utilization → Quality → Reimbursement → Financial performance
The objective is not for Revenue Integrity to own every function.
The objective is to ensure those functions reconcile.
Does the clinical record accurately represent the patient?
Does the coding accurately represent the record?
Does utilization align with clinical need?
Do quality and financial data tell a consistent story?
Are recurring audit findings being corrected at their source?
Can leadership trust the information being used to make decisions?
Those are no longer simply coding or billing questions.
They are enterprise integrity questions.
Protect the system—not simply the transaction
Traditional auditing is not going away.
Coding accuracy, documentation integrity, medical necessity, charge capture, billing compliance, and payer requirements remain foundational.
But they should no longer define the outer boundary of Revenue Integrity.
The future organization should use technology to identify risk, data to identify patterns, and experienced professionals to determine why those patterns exist and what should change.
It should reward prevention alongside detection.
And it should build teams based on the risks and capabilities the organization needs to manage—not simply the number of charts waiting to be reviewed.
Johnson captures the destination:
“The future of healthcare auditing is no longer the individual claim—it is the performance and sustainability of the entire healthcare enterprise.”
That should become a guiding principle for Revenue Integrity workforce design.
The future Revenue Integrity organization should not be built simply to audit more volume.
It should be built to protect more integrity.
Because the most valuable team will not necessarily be the one that touches the greatest number of claims.
It will be the one that gives the organization confidence that its clinical data, financial data, workflows, technology, reimbursement, and performance can be trusted.