
- Billing and coding errors cost practices an estimated 3–5% of net patient revenue (HFMA).
- 54% of providers say claim errors are rising; 68% say clean claims are harder (Experian Health).
- A 95% clean claim rate is the working benchmark; below it, revenue leaks at submission.
- Patient balances are a quarter to a third of revenue, but point-of-service collection is 50–70%.
- Reworking one denied claim costs 25–118 (HFMA).
- Accounts unpaid past 120 days have under a 30% chance of collection.
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TL;DR
Billing and coding errors cost practices an estimated 3–5% of net patient revenue, but the leaks sit at specific stages, so track your clean claim rate, first-pass denial rate, days in A/R, and net collection rate to find which to fix first. Tebra’s billing and payments platform tracks all four in one dashboard.
What revenue leakage means in the billing process
Revenue leakage is the difference between what a practice earns and what it actually collects. It disappears through undercoding, missed charges, underpayments buried inside "paid" claims, and patient balances that never get collected, none of which trigger a denial alert.
Practices lose an estimated 3–5% of net patient revenue to billing errors and coding mistakes (MGMA) For a practice billing $2 million a year, even a 3% leak rate means $60,000 in revenue that was earned but never collected.
Small losses at each stage of the medical billing process compound because no single root cause explains the shortfall. And without stage-by-stage measurement, the losses go unnoticed.
Front-end leaks: registration, eligibility, and authorization
The front desk is where the many preventable revenue losses begin. Errors at registration, eligibility verification, and authorization go unnoticed until a claim is denied weeks later. At that point, the rework is expensive and the patient interaction is harder to recover.
What goes wrong at registration
Experian Health's State of Claims 2025 found that 26% of providers say at least one in ten denials at their organization trace back to intake errors.
Incomplete or inaccurate patient information is both a common and fixable cause of denied claims. Wrong member IDs, outdated insurance cards, misspelled names, and missing secondary coverage all create claims that get rejected before clinical accuracy even matters.
How real-time eligibility checks catch it
Running a real-time eligibility check at scheduling (ideally 48–72 hours before the visit) gives your team time to catch inactive coverage, verify coordination of benefits, and confirm authorization requirements before the appointment. Doing the same check at the point of service can catch any last-minute changes.
Mid-cycle leaks: coding errors, undercoding, and missed charges
Coding and charge-capture errors can directly reduce what the practice gets paid. MGMA data shows that coding errors cost practices 3–5% of net revenue annually.
Undercoding vs. missed charges
Undercoding and missed charges are different problems, but both leave revenue on the table.
Undercoding happens when the documentation supports a higher-complexity code, but the practice bills a lower one. This is common when providers default to familiar codes or "round down" to avoid audit risk. The result is consistent underpayment for work that was performed and documented.
Missed charges happen when a billable service is performed but never captured. This is especially common in practices where documentation and billing live in separate systems, since the handoff between charting and charge entry creates openings for error. Labs, injections, procedures, and add-on services can be frequent culprits.
Connecting the note to the claim
The most reliable way to reduce coding leakage is tying documentation directly to charge capture. Medical billing software can help with this.
When the clinical note and the claim originate in the same EHR, the coder can see exactly what was documented and match it to the appropriate code. This eliminates the manual translation step that’s required when you’re using different systems, reducing errors.
Claim submission and denial leaks
Even when the front end and coding are clean, revenue can still leak at submission and through unworked denials.
Timely-filing losses
Every payer has a filing deadline, and missing it kills the claim regardless of whether the service was documented, coded, and authorized correctly. Timely-filing denials are permanent revenue losses with no appeal path, and they’re easy to miss for practices juggling multiple patient portals or manual workflows.
Working denials by value and root cause
Reworking a denied claim costs between $25 and $118 depending on claim type. With only 20% of clinical denials are ever appealed, unworked denials can be a significant source of lost revenue.
The practices that recover the most from denials prioritize by dollar value and root cause. A $500 denial with a missing modifier is worth immediate attention, while a $30 denial for a service that was genuinely not covered may not be. Categorizing denials by root cause also reveals patterns: if 40% of your denials are authorization-related, that's a front-end workflow problem worth fixing upstream.
Automated denial management helps by routing denials to the right person, tracking appeal deadlines, and surfacing the root-cause patterns that tell you where to focus prevention efforts.
Back-end leaks: Payment posting, underpayments, and A/R follow-up
Once a claim is paid, most practices move on. But "paid" doesn't always mean "paid correctly," and aging accounts receivable can quietly erode cash flow.
Catching underpayments
An underpayment happens when a payer reimburses less than the contracted rate. The claim shows as paid, so it doesn't trigger a denial alert or land in a work queue, and unless someone reconciles the remittance against the fee schedule, the shortfall goes unnoticed.
These aren't always small amounts. Systematic underpayments from a single payer can add up to thousands of dollars over a quarter. Reviewing payer payments regularly, flagging discrepancies, and escalating patterns to your payer representative is the only way to catch them.
Managing A/R aging
Days in accounts receivable (A/R) is one of the clearest indicators of revenue cycle health. The benchmark is under 40 days, and less than 15% of claims should age past 90 days. When A/R starts climbing, it usually signals one of three problems: payer delays, a denial backlog, or patient balances that aren't being collected.
The longer a claim or balance sits, the less likely it is to be collected. Accounts unpaid beyond 120 days have less than a 30% chance of collection, and write-off rates at that age run 40–60%.
Patient collection leaks in the high-deductible era
Patient financial responsibility has fundamentally changed the revenue equation. A decade ago, patient responsibility accounted for 10–15% of practice revenue. Today, it represents between a third and a quarter of total healthcare revenue, driven by high-deductible health plans that shift more of the bill to the patient.
MGMA data shows that time-of-service copay collection fell from about 90% pre-pandemic to 56% in 2022, even as the dollar amounts patients owe have increased, and additional research showed that 34% of covered workers now face a single-coverage deductible of $2,000 or more.
Practices can keep improve patient collection by:
- Verify benefits before the visit so you can provide an accurate estimate
- Collect at the time of service rather than billing after the fact
- Offer payment options for larger balances to reduce the number of unpaid accounts
How to find and measure where you're losing revenue
Since revenue leaks from multiple stages, no single metric catches everything. However, these four KPIs map directly to the stages above, so each one tells you where to look when the number moves in the wrong direction.
| KPI | What it measures | Benchmark | What a miss signals |
| Clean claim rate | Percentage of claims accepted on first submission | 95%+ | Front-end, coding, or submission errors |
| First-pass denial rate | Percentage of claims denied on first submission | 5–10% | Registration, authorization, or coding breakdowns |
| Days in A/R | How long it takes to collect after a claim is submitted | Under 40 days | Payer delays, denial backlogs, or patient collection issues |
| Net collection rate | Revenue collected as a percentage of allowed amounts | 95%+ | Underpayments, unworked denials, or uncollected patient balances |
Start with the metric that’s lowest compared to the ideal benchmark and investigate. For example, you could find:
- Clean claim rate below 95%: The problem is upstream, with registration, eligibility, or coding errors are creating rework before claims ever reach a payer.
- First-pass denial rate above 10%: A concentration in one category (such as authorization, coding, or eligibility) points to a specific billing workflow stage that needs fixing.
- Days in A/R climbing past 40: Determine whether the lag is payer-side (slow adjudication, denial backlogs) or patient-side (uncollected balances), as the fix is different for each.
- Net collection rate below 95%: Look at underpayments against contracted rates and patient balances aging past 90 days.
The key is connecting each metric to a specific stage so you know where to focus.
Tebra's billing and payments platform connects eligibility verification, claim submission, denial tracking, and payment posting in one system, giving practices visibility into where revenue is leaking at each stage.
Instead of toggling between payer portals and spreadsheets, billing teams can track clean claim rates, monitor denial patterns, flag underpayments, and manage A/R aging from a single dashboard, so the KPIs above become something you can actually act on in real time.
Frequently asked questions
- A clean claim rate at or above 95% is the working benchmark
- A healthy first-pass denial rate sits around 5–10%
- Days in A/R should stay under 40, and less than 15% of claims should age past 90 days
- Net collection rate should be 95% or higher
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