2026 RCM Benchmark Report, Powered by 500+ Provider Dataset

Methodology

The 2026 RCM Benchmark Report is built from anonymized aggregate data drawn from Revenue Synergy's active client base, covering more than 500 rendering providers and 22 distinct specialty cohorts. Claim-level and remittance-level data was captured continuously between January 1, 2025 and December 31, 2025, with closing AR snapshots taken on the first business day of January 2026. All practice identifiers are stripped before aggregation, and no single client contributes more than 4% of the volume in any single specialty cohort to prevent skew from outsized practices.

Where applicable, KPI definitions follow the HFMA MAP Keys methodology, including the formal definitions for Days in Total Receivables Outstanding, First-Pass Resolution Rate, and Aged AR over 90 Days as a percentage of total AR. Net collection rate is calculated over a trailing 120-day window to allow secondary insurance and patient-pay timing to settle. Where overlap exists with public datasets, our medians are sanity-checked against the MGMA DataDive Cost and Revenue Survey and the AAPC compensation and reimbursement survey to validate that our cohort sits within plus or minus 1 standard deviation of broader industry norms.

Year over Year Movement: 2025 to 2026

The headline story for 2026 is a divergence between two metrics that historically moved together. AR days trended UP industry-wide by roughly 2.4 days at the median, driven almost entirely by payer prior-authorization backlogs at the major commercial plans and a sustained increase in pended Medicare Advantage claims awaiting medical-record review. Specialties with high pre-service authorization burden (radiology, oncology, behavioral health) absorbed most of that slippage. Practices with established peer-to-peer escalation paths and dedicated auth teams saw materially less drift.

Denial rates also trended UP, but in a concentrated way: the increase is overwhelmingly attributable to Medicare Advantage plans tightening medical-necessity edits and post-pay audit programs. Original Medicare denial rates were essentially flat year over year, and commercial denial rates ticked up only modestly. Counter to those headwinds, clean claim rates IMPROVED by 0.8 percentage points at the median. We attribute that improvement primarily to broader adoption of AI-driven claim scrubbing tools at the front-end, which catch demographic and eligibility errors before submission rather than after rejection.

What "Best in Class" Actually Means

When this report cites "best in class" or "top decile" for any KPI, we mean the 90th percentile or better within the specialty cohort. "Top quartile" means the 75th percentile or better. "Average" or "median" refers to the 50th percentile. "Needs improvement" identifies the bottom quartile, the 25th percentile and below. Percentile bands are calculated within each specialty cohort, not across the whole dataset, because cross-specialty comparison of AR days is rarely meaningful.

Worked example for AR Days, all specialties combined: the bottom of our 2026 distribution is around 21 days, the 10th percentile sits at 26 days, the 25th percentile at 31 days, the median at 38.2 days, the 75th percentile at 47 days, and the 90th percentile at 58 days. So a practice at 30 AR days is in the top quartile (better than 75% of peers) but is not yet best in class. To reach top decile, it needs to move below 26 days. For context, Revenue Synergy's own client cohort averages 24 AR days, which places us inside the top decile by every cut of this dataset.

How to Read These Benchmarks for Your Practice

Headline benchmarks are useful as a north star but dangerous as a scorecard. Three variables drive most of the variance you will see in your own numbers versus this report. Practice size matters: a 4-provider practice runs different cash-flow and denial economics than a 60-provider group with a dedicated AR team. Specialty mix matters: a multi-specialty group should not benchmark itself against a pure orthopedic single-specialty practice. Payer mix matters most of all: a practice that is 70% Medicaid will have structurally different AR days and net collection rates than a practice that is 70% commercial PPO.

A defensible 4-step self-benchmarking process: (1) pull your trailing-12-month KPIs and segment them by primary specialty, not as a blended average; (2) overlay your payer mix and identify the closest cohort archetype in this report; (3) compare against the median for that cohort first, the top quartile second, and only then look at top decile as an aspirational target; (4) for each KPI gap larger than 10%, isolate the root cause to one of three buckets: front-end (eligibility, auth, demographics), claim submission (coding, scrubbing, clearinghouse rejection), or back-end (denial workflow, AR follow-up cadence, write-off discipline). Most practices have 1 or 2 buckets that explain 80% of the gap.

Specialty Spotlights: Why These Numbers Look Different

Cardiology. Cardiology AR days run higher than the all-specialty median primarily because of the prior-auth burden on cardiac imaging (stress echo, cardiac MRI, nuclear perfusion studies) and on interventional procedures including catheterization and electrophysiology. A meaningful share of cardiology revenue is locked behind 7 to 14 day auth turnarounds at commercial payers, which alone adds 3 to 5 days to median AR. Denial rates also run hotter on medical-necessity grounds, especially for repeat imaging within a 12-month window. Cardiology practices that invested in dedicated authorization specialists and integrated AUC (Appropriate Use Criteria) decision support saw their denial rates drop 2 to 4 percentage points below the cohort median in 2025.

Radiology. Radiology shows the highest denial rate in our top-6 cohort. Two structural reasons drive it: medical-necessity documentation is rarely written by the radiologist (it depends on the referring provider's order narrative and ICD-10 selection), and modifier misuse on TC/26 splits remains stubbornly common, especially in mixed hospital-and-imaging-center billing arrangements. Clean claim rates have improved with AI scrubbing adoption, but the denial rate gap to other specialties remains the widest in our dataset. Radiology groups with formal "ordering provider education" programs and pre-bill documentation review reduced their denial rate by 30% on average.

Primary Care. Primary care posts the strongest numbers across the board: lower AR days, lower denial rates, higher clean claim rates. The reason is structural rather than operational. Office E/M visits are high-volume, low-complexity claims with well-understood payer rules and limited need for authorization. The result is a tight, predictable cash cycle, which is why primary care often serves as the operational benchmark even for multi-specialty groups. Where primary care practices struggle is on patient-responsibility collection and on annual wellness visit (AWV) coding, where preventive vs problem-oriented modifier disputes drive most denials in this cohort.

Behavioral Health. Behavioral health has the highest median AR days in this cohort and one of the highest denial rates. Two drivers: payer carve-outs to behavioral-health subcontractors (which maintain their own enrollment, authorization, and adjudication rules separate from the medical plan) and ongoing mental-health parity-law compliance disputes that delay or reduce payment. Clean claim rates also lag because of credentialing delays at carve-out plans, where new clinicians can wait 90 to 120 days for a fully effective credentialing date even after enrollment paperwork is accepted. Practices billing under group NPIs and cycling claims through retrospective re-billing once individual credentialing closes recover most of that exposure.

Orthopedics. Orthopedics performs well on clean claim rate and net collection rate, supported by mature surgical coding workflows and well-defined global periods. Denial rates run higher than primary care because of physical therapy authorization, DME billing complexity, and modifier 25/57 scrutiny on same-day E/M plus procedure encounters. AR days stay tight thanks to high-dollar single-claim values that justify aggressive AR follow-up cadences. Orthopedic groups doing in-office injections (PRP, viscosupplementation) saw a notable uptick in denials on those line items as commercial payers tightened experimental and investigational policies through 2025.

Oncology. Oncology has the longest AR days of any specialty in our top-6 cohort. The combination of high-cost drug claims (J-codes) requiring specialty pharmacy adjudication, chemotherapy authorization cycles measured in weeks, frequent secondary or supplemental insurance coordination, and increasingly aggressive payer step-therapy and biosimilar substitution programs drives the elevated AR cycle. Net collection rates remain healthy because oncology contracts are typically tightly negotiated and drug ASP-plus pricing is well-understood, but the cash cycle is structurally slow. Practices that invested in financial-counselor staffing and benefits-investigation pre-treatment workflows saw shorter AR cycles even within the elevated specialty range.

A Note on Practice-Size Effects

Across every specialty in this dataset, practice size correlates with KPI performance in a non-linear way. Practices with 1 to 5 providers tend to under-perform the median on AR days and net collection rate, primarily because they cannot justify dedicated AR-follow-up staff and because owner-clinicians are reluctant to write off uncollectable balances. Practices with 6 to 20 providers tend to outperform the median on most KPIs, hitting the operational sweet spot where dedicated billing roles are economically viable but communication overhead has not yet exploded. Practices with 21 to 50 providers regress slightly toward the cohort median, often because of payer-mix complexity (more locations means more contracts) and the rise of multi-specialty management overhead. Practices with 50 or more providers either operate at top-decile efficiency (where investment in technology and dedicated denials teams pays off) or, in the case of recently merged groups, drop below the median while integration finishes. When you benchmark your practice, always restrict your comparison to your size band.

Limitations and What This Report Is Not

This report describes operational benchmarks for revenue cycle KPIs. It is not a clinical benchmark, a quality-of-care benchmark, or a payer-contract benchmark. It does not adjust for case mix, RVU intensity, or geographic Medicare conversion factors. It will not tell you whether your contracted rates are competitive, only how efficiently you are collecting against whatever rates you have. Practices working through major EHR migrations, recent payer terminations, or active acquisition integration will see distorted KPIs for 6 to 12 months and should benchmark forward-looking quarterly trend rather than trailing twelve-month medians. As with any benchmark, the goal is to identify gaps and prioritize remediation. The fastest way to close gaps is to combine peer benchmarking with a structured root-cause review of denials, AR aging, clean-claim error patterns, and patient-responsibility collection rates.

Finally, a note on data freshness. The benchmarks above reflect calendar year 2025 with January 2026 closing snapshots. Quarterly refreshes will be published throughout 2026 to track ongoing payer-policy shifts, particularly around Medicare Advantage prior authorization, AI-powered payer adjudication systems, and the continuing rollout of price-transparency machine-readable file integration into payer denial-and-appeal workflows.