Most billing and coding contracts are written to reward performance. Clean claim rates, first-pass acceptance rates, net collection rates, days in accounts receivable: these are the metrics that determine what billing firms earn and how they are evaluated by clients. That model creates a direct financial consequence for billing organizations when provider data errors drive down those metrics.
The challenge is that most billing contracts do not distinguish between denials caused by billing and coding errors and denials caused by provider data failures that originated upstream. The metric is the metric. If 15% of claims deny on first submission, the billing firm’s scorecard reflects a 15% denial rate, regardless of whether a meaningful share of that figure traces to provider NPIs, taxonomy codes, or network status information the billing firm had no role in creating.
That is not a theoretical concern. Experian Health’s 2025 State of Claims survey found that 50% of revenue cycle leaders now identify missing or inaccurate claim data as the single largest driver of denials, up 4 points from 2024. Fifty-four percent report that claim errors are increasing year over year, and 68% say submitting clean claims is more challenging than it was a year ago. The data-origin share of the denial population is growing, even as billing firms continue to be scored on aggregate denial rates that do not separate it out.
The Revenue Exposure for Billing Organizations
The financial mechanics of a performance-based engagement compound the exposure. Current industry data places contingency rates for outsourced medical billing at 4% to 9% of net collections, with 5% to 8% the prevailing range across mid-market vendors. A denial-driven reduction in collections is therefore not just a client problem; it flows directly through to the billing firm’s earned fees.
The arithmetic is straightforward. On a $10 million annual collections book, a 3% reduction in net collections from preventable provider-data denials represents $300,000 in uncollected revenue. At a 5% contingency fee, that is $15,000 in lost billing firm revenue from a single client, every year. Across a portfolio of clients, all experiencing some version of provider-data-driven denial pressure, the aggregate impact is material and recurring.
Layer in the broader environment. The 2025 Experian survey found that 41% of providers now face denial rates of 10% or higher on first submission, an increase every year since the survey began in 2022. Premier’s most recent national analysis put provider claims-adjudication spend at $25.7 billion in 2023, a 23% jump over the prior year, with roughly 70% of contested denials ultimately overturned. The denials are real. They are increasingly clustered around preventable data failures. And the billing firm’s contract reads the same regardless of where they originated.
Client Retention Risk
The financial exposure extends beyond fee calculations. Billing and coding firms operate in a competitive market where client retention depends on demonstrated performance. When a firm’s reported metrics underperform relative to benchmarks, even when the cause is upstream provider data quality rather than billing execution, clients tend to attribute the underperformance to the billing firm.
Clients are also becoming more sophisticated about denial analysis. Experian’s 2025 data shows 82% of revenue cycle leaders rank denial reduction as an organizational priority, and root-cause analytics is now standard discipline among the better-managed practices. Clients increasingly want denial breakdowns by causation, not just aggregated rates. That sophistication is an opportunity for billing firms that can credibly distinguish between data-origin and execution-origin denials, and a risk for firms that cannot.
What Leading Billing Firms Are Doing Differently
The billing organizations that are managing this effectively are doing two things.
First, they are documenting denial causation at a granular level, tracking which denials trace to provider data errors versus coding errors versus payer-side policy. That documentation gives them the evidence to have a different conversation with clients about where intervention is needed.
Second, they are investing in, or partnering with, provider data validation capabilities that let them verify provider information before it reaches the billing queue. A billing firm that can onboard a new client and run their provider roster through a validation process, flagging stale NPIs, outdated taxonomy codes, and network status discrepancies before any claims are submitted, is in a fundamentally different position than one that discovers those errors at denial.
For submission staff: Every time you correct a denial caused by provider data, note whether it was a provider-data issue or a coding issue. Building that distinction into your denial tracking gives your leadership the evidence to have a different conversation with clients, and to push for upstream data quality improvements that reduce your rework volume.
Ready to See What Provider Data Accuracy Can Do for Your Bottom Line?
If any of this resonates with what your team is dealing with, the next step is a conversation. Request a Demo or Strategy Session, no sales pitch, just a working discussion about your current data posture and the revenue you’re leaving on the table. Or reach out directly: [email protected].
We invite you to take a deeper dive. Check out these third-party and Datagence resources for more information.
- Experian Health: State of Claims 2025 (3rd Annual Survey) — denial rates ≥10%, year-over-year trend since 2022, top causes, 82% prioritization rate
- Experian Health: State of Claims 2025 (blog summary, claim errors and data drivers) — 50% citing missing/inaccurate claim data as the #1 driver; 54% reporting errors are increasing; 68% finding clean submissions more challenging
- Premier Inc.: Claims Adjudication Costs Providers $25.7 Billion — 2023 spend, 23% YoY increase, ~70% overturn rate
- Aptarro: US Healthcare Denial Rates and Reimbursement Statistics (2025/2026) — first-submission denial rates, rework cost ranges
- Affinity Core: Medical Billing Company Rates (2025) — current 4%–9% contingency rate benchmarks
- Medcaremso: Outsourcing Medical Billing Cost vs. ROI (2026) — corroborating 4%–8% prevailing-range benchmark for mid-market vendors
- Datagence: The Revenue Cycle Consequence
- Datagence: Provider Data Is Not a Compliance Problem. It’s a Revenue Problem.
- Datagence: Provider Data Enforcement Reckoning
- Datagence: Why Provider Directories Fail (And Always Have)