Not all payers are created equal. The difference between submitting a claim to Tricare and submitting the same claim to a large Medicare Advantage plan can mean the difference between a first-pass approval and a 90-day appeals battle. Yet most practices manage their payer mix with surprisingly little data on which payers are most likely to deny — and why.
This Payer Scorecard Report synthesizes denial rate data, turnaround time analysis, and specialty-specific patterns to give RCM leaders the intelligence needed to anticipate denials before they happen, not just respond after they arrive.
Denial Rates by Payer Category: 2026 Benchmarks
| Payer Category | Avg Denial Rate | YoY Change | Appeal Win Rate | Avg Resolution Days |
|---|---|---|---|---|
| Medicare Advantage | 6.2% | +0.8pp | 71% | 42 |
| Commercial (Large National) | 4.8% | +0.3pp | 68% | 38 |
| Commercial (Regional) | 3.7% | -0.1pp | 74% | 29 |
| Medicaid Managed Care | 7.1% | +1.2pp | 59% | 54 |
| Original Medicare | 2.1% | -0.2pp | 82% | 21 |
| Tricare / VA | 3.9% | +0.1pp | 76% | 33 |
| Workers' Comp | 5.4% | +0.6pp | 61% | 67 |
Important
Medicare Advantage denial rates have increased 0.8 percentage points year-over-year and are now 3x higher than Original Medicare. The OIG has flagged this pattern in multiple audits. MA plans face financial incentives to deny prior authorizations and claims that Original Medicare would approve — a structural problem that is unlikely to self-correct without regulatory intervention.
Top Denial Reason Codes by Payer Type
Understanding not just denial rates but denial reasons by payer is the foundation of proactive prevention. Different payers have different patterns — and different strategies work for each:
| Payer Type | #1 CARC Code | #2 CARC Code | #3 CARC Code | Pattern Note |
|---|---|---|---|---|
| Medicare Advantage | CARC 197 (auth required) | CARC 50 (not medically necessary) | CARC 16 (missing info) | Auth-focused; highly policy-driven |
| Large Commercial | CARC 4 (service inconsistent) | CARC 97 (bundling) | CARC 50 | Coding accuracy critical |
| Medicaid MCO | CARC 27 (coverage terminated) | CARC 29 (untimely filing) | CARC 16 | Eligibility verification crucial |
| Original Medicare | CARC 50 | CARC 5 (coding error) | CARC 4 | Clinical documentation focus |
| Tricare | CARC 4 | CARC 16 | CARC 50 | Referral/auth requirements |
| Workers' Comp | CARC 50 | CARC 181 (missing referral) | CARC 16 | Causation documentation key |
Which Specialties Get Hit Hardest
Denial rates are not uniform across specialties. Procedure-intensive specialties with extensive prior authorization requirements and high-value claims face disproportionate denial pressure:
| Specialty | Avg Denial Rate | Primary Denial Driver | Est. Annual Revenue at Risk (100-provider group) |
|---|---|---|---|
| Orthopedic Surgery | 9.4% | Prior auth, medical necessity | $4.2M |
| Oncology | 8.7% | Drug coverage, medical necessity | $6.8M |
| Cardiology | 7.9% | Procedure bundling, auth | $3.9M |
| Radiology | 7.3% | Medical necessity, duplicate | $2.1M |
| Behavioral Health | 11.2% | Coverage limits, auth | $1.4M |
| Physical Therapy | 8.1% | Frequency limits, medical necessity | $0.9M |
| Primary Care | 3.8% | Coding errors, bundling | $0.6M |
Key Insight
Behavioral health has the highest denial rate (11.2%) but the lowest absolute revenue at risk due to lower average claim values. Oncology has a lower denial rate but 5x more revenue at risk per denial. Prioritize your denial prevention strategy by revenue at risk, not just denial rate.
Payer Intelligence: From Reactive to Proactive
The traditional approach to payer management is reactive: a claim gets denied, the team appeals, and if the appeal wins, the practice updates its process. This cycle takes 60–90 days and generates significant administrative cost. Payer intelligence turns this model on its head.
A payer intelligence system aggregates denial patterns across a network of practices to build predictive models: given this CPT code, this diagnosis, this payer, this documentation pattern — what is the probability of denial? When that probability exceeds a threshold (typically 25–35%), the system flags the claim before submission for documentation enhancement.
- Pre-submission screening: Every claim is scored against payer-specific denial probability models before it leaves the practice. High-risk claims get flagged for documentation review, auth verification, or coding review.
- Real-time payer policy updates: Payer policies change constantly — LCD updates, coverage determination changes, prior auth list expansions. A live payer intelligence database captures these changes and immediately updates denial risk scoring.
- Benchmark comparison: Practices can compare their denial rates to specialty and region benchmarks. If your orthopedic group has a 12% denial rate versus the 9.4% benchmark, that 2.6 percentage point gap is worth understanding and closing.
- Payer negotiation data: Denial rates and appeal win rates by payer are powerful data points in contract renegotiations. A payer with a 13% denial rate and a 59% appeal win rate is costing your practice 4–5x more in administrative burden than their contracted rate implies.
The Medicare Advantage Situation: A Deep Dive
Medicare Advantage deserves special attention because the denial pattern is structural, not incidental. MA plans receive a fixed per-member per-month payment from CMS and profit by spending less than they receive. This creates a direct financial incentive to deny or delay claims that Original Medicare would approve.
The OIG found in its 2022 audit that MA plans denied 13% of prior authorization requests that, upon appeal, were found to meet Medicare coverage rules. The plans reversed 75% of these denials when appealed — which means the initial denial was incorrect in the majority of cases. This is not coincidence; it is a business model.
The practical implication: for Medicare Advantage claims, build your workflow assuming you will need to appeal. Do not treat the initial denial as a final decision. Have appeal templates ready, know the specific coverage policy that applies to each common procedure, and track appeal outcomes by plan and by CARC code. Over time, this data becomes a significant competitive advantage.
Building Your Practice-Specific Payer Scorecard
Every practice should maintain a live payer scorecard that tracks, at minimum: denial rate by payer, denial rate by CARC code by payer, appeal win rate by payer, average days to resolution by payer, and administrative cost per dollar collected by payer.
This scorecard drives two types of decisions. Operationally, it tells you where to focus denial prevention and appeal resources. Strategically, it tells you which payer relationships are most costly relative to their contracted rate — intelligence that is increasingly being used in contract negotiations to either improve rates or restrict network participation for systematically underpaying payers.
Pro Tip
When negotiating contracts with high-denial payers, present your payer scorecard data as part of your negotiation package. Document the administrative burden in dollars: "Your plan has a 13% denial rate versus the 4.8% commercial benchmark, costing our practice an additional $340,000 per year in administrative overhead. We are requesting either a 4% rate increase to cover this burden or a commitment to reduce denial rates to benchmark levels within 12 months."
Revenue Cycle Analytics Team
NexaClaim AI Research
Practitioner and thought leader in healthcare revenue cycle management, with a focus on AI-powered denial management, prior authorization automation, and payer intelligence.