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Industry briefing · June 2026

The 8 RCM challenges defining 2026.

Every year has its industry briefing. 2026 has eight challenges that are different in kind, not just in degree, from last year's list. Three of them are structural. Two are policy-driven. Three are operating-model questions that the next 12 months will answer. Here is the honest map.

8Defining challenges 3-7%Net revenue at risk ~$262BIndustry impact, denials alone 22%Coder turnover annual avg

The mapEight challenges. Three layers.

Industry briefings tend to list everything at once and leave the prioritization to the reader. That is a useful exercise for a conference panel and an unhelpful one for an operating leader. The list below is the same eight challenges most RCM observers would name, but it is organized into three layers: structural, policy, and operating model. The layers matter because the fixes are different.

Structural challenges are the ones the industry has been moving toward for several years and that will not reverse. Denial rate increases, eligibility complexity, and workforce shortage sit here. Policy challenges move with regulation. Payer policy churn and parity rules sit here. Operating model challenges are the ones a practice answers with a strategic choice. Credentialing TAT, value-based pressure, and AI adoption sit here. Treat them with three different cadences and three different governance structures.

The structural challenges set the floor on what good performance looks like. The policy challenges set the cadence of the work. The operating model challenges set the ceiling on growth.

The eight, with scale, dollar impact, and fix.

Each card lays out the challenge in roughly 60 seconds of reading: what it is, the scale, the dollar exposure on a representative book, and the mitigation that actually moves the number. Dollar impact is anonymized and indexed to a $30 million practice for comparability.

Challenge 01 · Structural
High impact

Denial rate increases.

Initial denial rates moved from 9 percent in 2020 to 11 to 13 percent on average in 2026, with MA running 14 to 16 percent. AI-powered payer adjudication catches documentation gaps in real time. The increase is structural and compounds quarter over quarter without intervention.

+50%Cumulative rise since 2019
$720K-$2.1MAnnual exposure on $30M book
What worksReal-time eligibility verification, documentation NLP scrubbing, payer rule quarterly refresh, 70/30 prevention-to-appeal spend split.
Challenge 02 · Policy
High impact

Payer policy churn.

Major payers publish 80 to 140 medical policy updates per year, with effective dates often 30 to 60 days out. Practices on annual rule refresh miss roughly 90 percent of updates. The internal rule table becomes a year-stale fiction by Q2.

80-140Updates per payer per year
$340K-$580KLost cash per missed update cycle
What worksQuarterly rule library refresh, subscription to payer policy update feeds, internal one-page brief to coding and front-desk teams every quarter.
Challenge 03 · Operating model
High impact

Credentialing TAT.

Median credentialing TAT stretched to 90 to 120 days in 2026, with multi-state work pushing past 150. The dollar cost is unbillable revenue during the wait. On a single ABA BCBA, that is $40,000 to $70,000 per delayed month. Multi-state practices feel this hardest.

90-120 daysIndustry median TAT
22-30 daysAchievable with platform automation
What worksMulti-tenant credentialing platform, NCQA-aligned dashboard, parallel enrollment workflows by payer, named credentialing-to-first-claim owner per provider.
Challenge 04 · Structural
High impact

Eligibility complexity.

Post-PHE enrollment churn moved roughly 25 million patients across plans. The PM system's eligibility data is wrong on a measurable percentage of patients on any given day. Coverage termination, plan switch, and payer-of-record mismatches drive a denial category that did not exist at this volume in 2020.

~14%Of patients carry stale coverage
4.6xDenial rate vs practice-wide avg
What worksReal-time 270/271 verification before every encounter, daily MCO roster reconciliation, automated coverage-discovery loop for self-pay.
Challenge 05 · Policy
Medium impact

Mental health parity rules.

The 2024 parity final rule and continued enforcement into 2026 give behavioral health and SUD practices a clearer basis for parity-based appeals. The operational work is documentation of disparate treatment and structured appeal under parity language, not just CPT-level appeal.

~22%Avg behavioral health denial uplift on appeal
10-14%Net revenue lift, BH and SUD
What worksParity-grounded appeal templates, NQTL documentation pack, payer-level parity dashboards, escalation path with state regulators where appropriate.
Challenge 06 · Operating model
Medium impact

Value-based pressure.

ACOs, MA capitated arrangements, and shared-savings programs have grown as a share of the panel in 2026. Revenue is no longer a pure function of charge capture and collection; it is also a function of risk-adjusted documentation, quality measure performance, and total cost of care.

9-14%RAF compression under V28
$1.4M-$3.2MCapitated revenue exposure
What worksParallel V24/V28 RAF tracking, quality measure dashboards, clean separation of FFS and value-based revenue in financial reporting, clinical documentation specificity prompts.
Challenge 07 · Structural
Medium impact

Workforce shortage.

Coder turnover runs 22 percent annual. Front-desk turnover runs higher. The visible cost is recruitment and training. The invisible cost is denials caused by missing demographic fields, late filing because of coder backlog, and prior-auth flags missed at the front desk. Roughly a third of denials we audit trace back to a staffing gap upstream.

22%Coder turnover annual avg
~30%Of denials trace to staffing
What worksCredentialed specialist teams for repetitive coding and posting, cross-training front desk on top denial reasons, AI assist embedded in workflow rather than bolted on.
Challenge 08 · Operating model
Net upside

AI adoption.

AI is the only challenge on this list that is mostly upside, but the implementation risk is real. The high-leverage applications are documentation NLP, prior-auth packet assembly, coding assist, denial root-cause clustering, and payer rule application at scale. The low-leverage applications are anything that lives on the side of the workflow rather than inside it.

6xTAT compression on prior auth
89%Auto-approval rate, packet AI
What worksWorkflow-embedded only. Workflow handoff measurable. AI selection rule: every tool ties to a specific failure mode. Bolt-on tools consistently fail.
The Pareto view

Which challenges hit hardest by specialty.

The eight challenges are universal. The dollar impact ranking is specialty-specific. Treat the chart below as a starting prioritization, not a substitute for a real audit of your own book. The percentages indicate share of total denial dollars by challenge for a representative practice in each specialty.

Share of denial dollars by challenge · by specialty · 2026 representative book
ABA FQHC HOSPITAL BEHAVIORAL MEDICAL GRP CREDENTIALING 32% PARITY 24% POLICY 18% DENIAL 13% OTHER 13% ELIGIBILITY 30% WORKFORCE 23% POLICY 18% DENIAL 14% OTHER 15% DENIAL RATE 36% VALUE-BASED 21% POLICY 16% WORKFORCE 13% OTHER 14% PARITY 31% ELIGIBILITY 23% DENIAL 18% CREDENTIALING 14% OTHER 14% POLICY CHURN 28% DENIAL RATE 24% VALUE-BASED 18% WORKFORCE 15% OTHER 15% 0% 25% 50% 75% 100%
Credentialing / Workforce Parity / Value-based Eligibility / Policy Denial rate Other

The takeawayThe challenges are universal. The prioritization is not.

Three things follow from the Pareto view above. First, every specialty has at least two challenges that account for more than half of its denial dollars. Treating the eight as equal-weight in the operating plan wastes capacity. Second, the top two for each specialty are not the same across specialties. An ABA practice copying a hospital's challenge prioritization will pick the wrong projects. Third, the bottom three for each specialty are still material. They do not disappear just because they are not the top two.

The operating implication is that the 90-day plan should name two priorities per specialty, with named owners and named fixes, and then a maintenance cadence for the remaining six. The 12-month plan should rotate the two priorities as the top two get to baseline and the next two become the dollar-impact leaders. This is the pattern that compounds over a year. Anything that treats all eight as equal-weight does not.

What we tell clientsPick two. Run them to baseline. Then pick the next two.

The single most important piece of advice we give a CFO walking into a 2026 planning meeting is to pick two. Run them to baseline. Then pick the next two. The discipline is in saying no to the other six for the first 90 days, not in covering all eight badly. The math works because two challenges run to baseline cover 50 to 65 percent of total denial dollars for most specialties. The next two cover another 25 percent. By the time a year has passed, six of the eight have been to baseline once.

The mistake we see most often is the planning meeting that ends with all eight on the list, all eight with named owners, none of the eight with a named fix, and no governance cadence to check progress. The plan is comprehensive on paper and operationally inert. The two-priority discipline is harder to defend in the room and easier to execute outside it.

RCM challenges, frequently asked questions.

The questions revenue cycle leaders most often ask when prioritizing 2026 operating plans.

Which of the eight challenges hits hardest in 2026?
Across our active book, the dollar impact ranking is denial rate increases first, payer policy churn second, eligibility complexity third, credentialing TAT fourth, workforce shortage fifth, parity rules sixth, value-based pressure seventh, and AI adoption (which is mostly upside but with implementation risk) eighth. The ranking shifts by specialty. ABA practices feel credentialing TAT and parity hardest. FQHCs feel eligibility complexity and workforce hardest. Hospitals feel denial rate increases and value-based pressure hardest.
How is payer policy churn different from past years?
The cadence of policy updates has accelerated, and the lead time between publication and effective date has compressed. Major payers now publish 80 to 140 medical policy updates per year, with effective dates often 30 to 60 days after publication. Practices on an annual rule library refresh miss roughly 90 percent of those updates. The minimum operational standard in 2026 is quarterly refresh with a subscription to payer policy feeds.
What is the credentialing TAT problem in 2026?
Median credentialing turnaround across the industry has stretched to 90 to 120 days, with multi-state work pushing past 150. The dollar cost of a credentialing delay is the unbillable revenue during the wait, which on a single ABA BCBA generally runs $40,000 to $70,000 per delayed month. Multi-state practices and growth-stage specialty groups feel this hardest. Platform automation can compress the credentialing-to-first-claim cycle to roughly 22 to 30 days.
What does eligibility complexity look like operationally?
Post-PHE enrollment churn moved millions of patients across plans, into commercial, into marketplace, and into uninsured status. The eligibility data the PM system thinks it has is wrong on a measurable percentage of patients on any given day. Real-time 270/271 verification before every encounter, daily MCO roster reconciliation, and an automated coverage-discovery loop for self-pay patients are the operational minimums.
How are mental health parity rules changing in 2026?
The Mental Health Parity and Addiction Equity Act enforcement landscape tightened with the 2024 final rule and continued enforcement focus into 2026. Behavioral health and SUD practices that historically accepted lower reimbursement, narrower networks, and tighter prior auth requirements now have a clearer basis for parity-based appeals. Operationally, the work is documentation of disparate treatment and structured appeal under parity language, not just CPT-level appeal.
What is the workforce shortage actually costing?
Coder turnover runs 22 percent annual industry average. Front-desk turnover runs higher. Billing manager turnover runs 18 to 24 percent. The visible cost is recruitment and training. The invisible cost is denials caused by missing demographic fields, late filing because of coder backlog, and prior-auth flags missed at the front desk. Across our audits, roughly a third of denials trace back to a staffing gap somewhere upstream.
How should practices think about AI adoption in 2026?
AI is upside, but unevenly distributed. The high-leverage applications are documentation NLP, prior-auth packet assembly, coding assist, denial root-cause clustering, and payer rule application at scale. The low-leverage applications are anything that tries to replace clinical judgment or anything that does not have a measurable workflow handoff. The selection rule is workflow-embedded only. Bolt-on tools that live on the side of the workflow consistently fail.
Where does value-based care pressure fit in?
ACOs, MA capitated arrangements, and shared-savings programs have grown as a share of the panel in 2026. The RCM implication is that revenue is no longer a pure function of charge capture and collection; it is also a function of risk-adjusted documentation, quality measure performance, and total cost of care. V28 HCC compression hits this category directly. The minimum operational standard is parallel RAF tracking, quality measure dashboards, and a clear separation between fee-for-service and value-based revenue in financial reporting.

Want a challenge prioritization for your book?

A free 30-day operating audit under a same-day BAA. The output is a written report covering the eight challenges scored against your specific data, the two top-priority focus areas, named fixes per priority, and a 90-day governance plan. A senior partner on the call.