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Edition 1, 2026 · 54 pages · 80 active root causes

The 80 denial patterns that drive 95% of takebacks.

Eighty distinct denial root causes grouped into ten categories. Twenty-eight automation candidates. Seven specialty cross-cuts. The pattern-by-payer heatmap. The prevention-versus-appeal quadrant. The working library the senior partner team hands new clients on engagement day one.

Edition
1 · 2026
Length
54 pages
Audience
RCM directors
Patterns
80
Categories
10
Cross-cuts
7 specialties

Executive summaryFive things this reference changes.

Most denial-management programs work the denials. Few have a working taxonomy of what they are working on. The eighty patterns are the actionable list. The categories are the prioritization framework. The reference is the working document for a denial director, an RCM lead, or a CFO who needs the math behind the AR.

01
Eighty patterns explain the bulk of denial dollars across specialties.
02
Ten categories sort every pattern into prevention or appeal.
03
Twenty-eight patterns are deterministic automation candidates.
04
The 5x10 payer heatmap exposes payer-specific concentrations.
05
The quadrant sorts every pattern into one of four operational responses.
PATTERNS CATALOGED
80
Active denial root causes
PREVENTABLE UPSTREAM
65%
Caught before submission
CLAIM VOLUME SOURCED
$400M
Denied claims studied
COST PER REWORK
$25-118
Per single denial
DENIAL AS OPERATIONAL FAILURE - THE COLLAPSE
CARC
Failure category
+
RARC
Specific reason
=
NOMINAL
Thousands of codes
OPERATIONAL
80 root causes
RESPONSE 1
Prevent upstream
RESPONSE 2
Appeal downstream
RESPONSE 3
Triage out
PRINCIPLE 01
Treating every denial as a one-off appeal letter wastes the most expensive resource in the building. Treating every denial as a rule-engine candidate misses the patterns where no front-end rule will ever fire.
CAVEAT 01
The 80 count is stable inside a quarter and refreshes annually as payers issue policy updates.
CAVEAT 02
Dollar weighting reflects a representative book of business, not your book.
CAVEAT 03
Prevention rates are achievable, not guaranteed. The difference is front-end discipline.
NOT THIS
A CARC dictionary

Already ships inside every clearinghouse. Answers "what does this denial mean."

THIS
An operating taxonomy

Converts CARC+RARC into one of 80 patterns and one of 4 quadrant responses. Answers "what is the cheapest next move."

CLAIM VOLUME STUDIED
$400M
SPECIALTIES SAMPLED
5
ABA, FQHC, hospital, BH, multi-spec
PATTERNS DERIVED
80
DOLLARS MOVE WHEN
Fewer letters,
more rules

The landscapeThe top 20 CARC codes by dollar impact.

Across a representative book of business spanning seven specialties, twenty CARC codes account for roughly eighty-two percent of denial dollars. The ranking varies by specialty but the head of the distribution is remarkably stable across payers.

HOSPITAL
10-15%
First-pass denial
BEHAV. HEALTH
12-18%
First-pass denial
ABA (MATURE)
6-10%
First-pass denial
FQHC
8-14%
First-pass denial
MIXED BOOK
9-12%
2026 industry baseline

The CMS Office of Inspector General 2024 review of Medicare Advantage prior-authorization denials found that roughly thirteen percent of MA prior-auth denials should have been approved on first submission. A meaningful share of every book is recoverable on a clean appeal because the original denial was a process artifact rather than a coverage decision.

REWORK ECONOMICS
Prevention always wins on patterns above a few hundred dollars in claim value. Appeals only win where recovery probability is high.
QUARTERLY DECAY
Payer policy updates on Jan 1 and Jul 1 reset weights on roughly 30% of patterns. The same CARC means a different pattern next quarter.
27 - Expenses incurred after coverage terminated 12.8% 29 - Time limit for filing has expired 10.4% 197 - Precertification absent 8.9% 11 - Diagnosis is inconsistent with procedure 7.2% 22 - Care covered by another payer 5.8% 96 - Non-covered charge 4.9% 109 - Claim not covered by this payer 4.4% 204 - Service not covered under plan 3.8% 50 - Non-covered medical necessity 3.5% 18 - Duplicate claim or service 3.0% 16 - Lacks information for adjudication 2.7% 177 - Patient has not met deductible 2.3% B7 - Provider not certified for service 2.0% A1 - Claim denied charges 1.8% B15 - Required service not received 1.6% 252 - Attachment required 1.4% 119 - Benefit maximum reached 1.2% 151 - Payment adjusted insufficient documentation 1.0% B9 - Patient enrolled in HMO 0.9% 216 - Investigational service 0.8%
Top 20 CARC = 82% of denial dollars · Source: ASP-RCM aggregated engagements

The frameworkPrevention vs appeal quadrant.

Every one of the eighty patterns sorts into one of four quadrants. The two axes are whether the pattern is preventable at the front end and whether the pattern is recoverable on appeal. The quadrant tells the team where to spend operational time first.

Q1 · High prevent · High recover

Build the front-end rule. Appeal the existing denials.

Eligibility denials, authorization denials, and most coding denials live here. The deterministic rule prevents the next claim. The appeal recovers the existing inventory. Highest operational priority.

Q2 · High prevent · Low recover

Build the front-end rule. Triage the existing inventory.

Timely filing denials, duplicate claim denials, and most claim-format denials live here. The rule prevents the next claim cleanly. The existing inventory rarely recovers on appeal.

Q3 · Low prevent · High recover

Build the appeal workflow. Accept the prevention limit.

Medical necessity denials, investigational service denials, and most documentation denials live here. The denial is hard to prevent deterministically. The appeal recovers reliably with clinical documentation.

Q4 · Low prevent · Low recover

Triage out. Track at the panel level.

Patient-not-eligible-anywhere denials and many benefit-maximum denials live here. Operational time inside the AR queue does not pay off. Track at the panel level to surface trends.

The taxonomyTen categories. Eighty patterns.

Every one of the eighty patterns lands in exactly one of these ten categories. The pattern count by category, the automation candidate count, and the example root causes appear below.

The category choice is not cosmetic. Each category carries a different operating posture, a different escalation path, and a different ownership inside the revenue cycle.

FRONT-OFFICE PROBLEMS
Eligibility & Authorization
Prevention play lives at intake. Appeal play lives in patient services.
MID-CYCLE PROBLEMS
Coding & Documentation
Owned by coders and CDI. Prevention climbs into the high 90s with real CDI.
DATA HYGIENE PROBLEMS
Credentialing & Claim Format
Almost always preventable. Invisible until a quarterly enrollment audit surfaces them.
CLOCK PROBLEMS
Coordination of Benefits & Timely Filing
Filing limits range from 60 days (some Medicaid MCO) to 365 days (Medicare).
JUDGMENT PROBLEMS
Medical Necessity
Only category where prevention is structurally low. Documentation created at point of care.
AUDIT PROBLEMS
Post-pay Takeback
RAC, ZPIC, MAC, and commercial audits. Largest dollars per pattern, smallest volume.
PRINCIPLE 02
Sorting denials this way produces a clean handoff matrix. Each category gets a named owner, a named playbook, and a named SLA. That turns the reference into a working program rather than a binder.
READ THE AUTO COLUMN 28 patterns fire on data the practice already owns. The other 52 need human judgment or external data, so they live in a workflow tool, not the rule engine.
Cat
Category
Example root causes
Patterns
Auto
01
Eligibility
Coverage termed, plan change mid-period, eligibility on DOS not verified, dependent off plan.
11
9 auto
02
Authorization
No auth on file, auth required for visit type, auth expired, auth code list does not include CPT.
9
7 auto
03
Coding
Dx-CPT mismatch, missing modifier, NCCI edit, MUE exceeded, gender-CPT mismatch.
12
6 auto
04
Documentation
No supporting note, time on note does not match, signature missing, attestation absent.
8
1 auto
05
Claim format
Wrong claim type, missing rendering NPI, billing provider mismatch, taxonomy code missing.
7
5 auto
06
Coordination of benefits
Primary not billed, COB missing on file, COB outdated, both payers paid same claim.
6
0 auto
07
Timely filing
Filed after limit, COB rule extended limit not applied, secondary timely filing missed.
5
0 auto
08
Medical necessity
Service not medically necessary, frequency exceeded, LCD-NCD mismatch.
9
0 auto
09
Credentialing
Rendering provider not enrolled, supervising provider not on roster, group enrollment lapsed.
7
0 auto
10
Post-pay takeback
Audit recovery, eligibility retroactive change, COB retroactive change, duplicate paid claim.
6
0 auto

The heatmapPattern by payer.

A 5x10 matrix that scores frequency of each category against the five largest payer groups on a representative book. The intensity tells the operations team which patterns to expect by payer. Eligibility and authorization concentrate in Medicaid managed care. Medical necessity concentrates in commercial.

Pattern frequency by payer group
1 to 5 scale · 5 = highest concentration
Medicare
MA
Medicaid FFS
Medicaid MCO
Commercial
Eligibility
2
3
3
5
3
Authorization
1
4
2
5
4
Coding
4
4
3
3
3
Documentation
3
4
2
2
3
Claim format
2
2
3
3
2
COB
3
3
2
3
4
Timely filing
2
2
3
4
2
Medical necessity
3
4
1
2
5
Credentialing
2
2
3
4
2
Post-pay takeback
3
4
2
3
3

THE LOOPHow denials feed prevention rules.

Every denial that lands inside the eighty-pattern catalog becomes a candidate for a front-end rule, a workflow template, or a triage decision. The reference closes the loop.

INTAKE Eligibility check AUTH CPT-auth match CODING NCCI scrub SUBMIT 837 to payer DENIAL CARC + RARC RECOVERY Appeal or triage FEEDBACK: pattern -> prevention rule 1 2 3 4 5 6 Verify Match Code File Classify Update rules

Deep-dive referenceWhat lives inside each category.

A working tour of the eighty patterns sorted by their ten categories, with the prevention and appeal benchmarks an operating team can plan against.

EACH CARD SHOWS SIX FIELDS
Pattern #
Shared vocabulary
Category
1 of 10
CARC + RARC
Remit pairing
Prevent ceiling
Math max
Rework cost
Per claim
Quadrant
Q1 - Q4
WHY IT MATTERS A 9% denial rate can hide a Q1 pattern quietly migrating to Q3 after a payer edit change. Reporting by pattern, weekly, surfaces a $40K AR spike six weeks before it lands.
PATTERN #07 - ELIGIBILITY CARC 27 - RARC N130
Coverage termed mid-cycle, member unaware
89% preventable $47-120 rework Q1 quadrant
PATTERN #13 - AUTHORIZATION CARC 197 - RARC N640
Auth code list does not include CPT
82% preventable $60-118 rework Q1 quadrant
PATTERN #24 - CODING CARC 11 - RARC M51
Modifier 59 misuse, replace with X-modifiers
96% preventable $35-80 rework Q1 quadrant
PATTERN #38 - DOCUMENTATION CARC 50 - RARC N115
MEAT missing on HCC condition
74% preventable $80-118 rework Q3 quadrant
PATTERN #52 - CREDENTIALING CARC B7 - RARC N570
Provider not credentialed on DOS
97% preventable $25-60 rework Q1 quadrant
PATTERN #61 - TIMELY FILING CARC 29 - RARC N211
Filed after limit, secondary lag
99% preventable $25-50 rework Q2 quadrant

Prevention rate by category

Each category carries a different deterministic ceiling. Medical Necessity is structurally judgment-based, which is the only category below the eighty percent line.

Patient demographics 95-100% Credentialing 95-100% Timely filing 99% Coding & modifier 90-98% Eligibility 85-95% Duplicate & frequency 85-95% Coordination of benefits 80-90% Documentation (with CDI) 80-95% Authorization 75-90% Bundling & payment policy 70-85% Medical necessity 35-55% 0% 50% 100%
CEILING READ
Push every category as close to its ceiling as the bench allows.

Coding 98%. Credentialing 100%. Timely filing 99%. Deterministic prevention is the lever.

FLOOR READ
Redeploy savings into the floor categories.

Medical necessity 35%. Chart review, peer-to-peer, documentation tightening, not rule writing.

Eligibility prevention layers

LAYER 1 - INTAKE
~80%
Real-time eligibility check at intake
LAYER 2 - 48HR RECHECK
+10%
Changes between intake and DOS
LAYER 3 - CLEARINGHOUSE
+few%
Claim-level scrub at submit

Same layering logic applies to authorization, coding, and documentation. Move prevention as far upstream as the data allows or end up with brittle rules and a queue that never shrinks.

Specialty cross-cuts shift the weighting

CROSS-CUT RULE Same 80 patterns. Different dollar weighting. A pattern at 35% in ABA can be under 2% in hospital. Copying a denial program across specialties without re-running the weighting wastes the first quarter.

Pattern-weighted prevention is standard scope when ASP-RCM operates as an ABA billing company; the ABA weighting below is where every new engagement starts.

ABA
Authorization 35%
Documentation 25%
Coding 15%
Credentialing 15%
Other 10%
FQHC
Credentialing 30%
Eligibility 25%
Coding 20%
Documentation 15%
Other 10%
HOSPITAL
Coding 25%
Authorization 20%
Medical necessity 20%
Timely filing 15%
COB and other 20%
MA & HCC
Post-pay takeback 30%
Documentation (MEAT) 25%
Medical necessity 20%
Coding (HCC) 15%
Other 10%

Regulatory anchors governing the rules

CODING BAR
CMS NCCI edits + LCD/NCD policies

Deterministic coding logic.

FORMAT + TIMING BAR
45 CFR Part 162 + state Medicaid manuals

Claim format, eligibility, timely filing.

The reference does not add new rules. It maps existing policy to pattern, quadrant, and owner.

Why Authorization and Medical Necessity stay split

AUTHORIZATION
Process question

Owned by intake + scheduling. Different quadrant, different escalation path.

MEDICAL NECESSITY
Clinical question

Owned by the documenting provider. Off-the-shelf reports that bundle them hide the handoff.

Worked playbook

How to use the reference in 30 days.

  • Week 1. Pull 90 days of denial data. Classify every denial into one of the ten categories.
  • Week 2. Drop the categorized denials into the prevention-versus-appeal quadrant. Lock the priority list.
  • Week 3. Build the front-end rules for the Q1 patterns. Stand up the appeal workflow for the Q3 patterns.
  • Week 4. Run the pattern-by-payer heatmap on your book. Layer the payer-specific patterns on top.
  • Month 2 onward. Weekly review on the quadrant movement. Monthly review on the heatmap.
DENIAL $ - 90 DAYS D 0 D 90 100% 41%
ASP-RCM · senior partner team Reference usage playbook

Worked exampleOne denial, end to end.

A single denial walked through the taxonomy, the quadrant, and the operating response, so the reference shows up as an actionable path rather than a chart on a wall.

CLAIM
97153 x16u
Tuesday session
PAYER
Medicaid MCO
Regional ABA group
CARC / RARC
197 / N640
Auth absent
QUADRANT
Q1 - Pattern #13
High prevent + recover
PREVENTION THREAD
Front-end rule: compare outbound CPT against active auth CPT list for member-payer combo. Hold claim if no intersect.
Deterministic, fires at claim creation, adds about 4 seconds to scrub time.
APPEAL THREAD
One-page letter cites auth record, BCBA assessment supporting 97153, payer policy. Submit inside 15-day window.
Recovery 65-70%. Cost: 1 staff hour + fax. EV positive above ~$200 billed.
PRINCIPLE 03
The reference does not save the appeal. The team saves the appeal. The reference tells the team this is the same denial they will see next week unless the front-end rule ships, and the same letter for the next twenty in this pattern.

The cost of staying inside the historical workflow

PER APPEAL
1 hr
AR specialist time
MONTHLY DENIALS
2,000
Mid-size book
FTE BURNED
1
Weekly, on letters
PAYBACK
1 qtr
Redirected to rules

Every category names a skill set

ELIGIBILITY + AUTH
Intake + patient services
CODING + DOCUMENTATION
CPC, CCS, CDI specialist
CREDENTIALING
Enrollment analyst
TIMELY FILING + COB
AR analyst
MEDICAL NECESSITY
Clinical reviewer
POST-PAY TAKEBACK
Audit response lead

For years we worked denials in the order they came off the remit. Once we sorted every denial into one of the four quadrants, the AR director's morning huddle finally had a shape. Twenty-eight patterns moved into front-end rules. The team's denial inventory dropped almost sixty percent in the first quarter.

RCM director · multi-specialty group · anonymized

Implementation checklistOperationalize the reference.

Eight items to move from the reference document to a working denial program. The first four are the bulk of the work.

TIMELINE
90 days
Most books. 180 days for multi-specialty or heavy Medicaid MCO mix.
BENCH NEEDED
3 leads
Coding lead, AR lead, credentialing analyst. Senior partner team if absent.
PATTERN DECAY
2-4/qtr
Patterns shift every quarter. Re-tag backlog every 90 days to hold gains.
WATCH-OUT
Skip the parallel test and the rule engine will block clean claims. Skip the template tuning and the appeal team will burn cycles on letters that under-cite the medical record.
01
Pull 90 days of denial data with CARC and RARC codes.
Group by payer. Map dollars by category.
02
Classify every denial into one of the 80 patterns.
Use the 10-category map. Lock the count.
03
Drop patterns into the prevention vs appeal quadrant.
Q1 to Q4. Rank within each quadrant by dollar impact.
04
Build front-end rules for Q1 and Q2 automation candidates.
Twenty-eight rules max. Test in parallel before live.
05
Stand up the appeal workflow for Q3 patterns.
Clinical documentation templates. Appeal timer.
06
Triage Q4 patterns out of the working queue.
Track at panel level. Surface monthly for trend.
07
Run the pattern-by-payer heatmap on your book.
Layer payer-specific patterns on top of the quadrant.
08
Lock the monthly review cadence.
Quadrant movement and heatmap shifts on one page.

GlossaryThe vocabulary of denial taxonomy.

CARC
Claim Adjustment Reason Code. The category-level reason a payer denied or adjusted a claim.
RARC
Remittance Advice Remark Code. The detail-level reason that supplements the CARC.
Pattern
A distinct operational root cause that combines CARC, RARC, and workflow context.
Quadrant
One of the four prevention-vs-appeal categories every pattern sorts into.
Automation candidate
A pattern that can be caught deterministically at the front end before submission.
Cross-cut
A specialty view of which patterns matter most for that specialty's book.

About the authorsWho wrote this paper.

Aparna Suresh
Senior partner · BACB co-author · ASP-RCM
Twenty-plus years across denial management for hospitals, FQHCs, and specialty practices. Founded ASP-RCM in 2019. Designed the 80-pattern taxonomy this reference is built from.
ASP-RCM denial team
RCM directors · AR leads · Coding QA
Cross-functional senior partner team behind the deterministic rule library, the pattern-by-payer heatmap, and the prevention-vs-appeal quadrant.

Common questionsFrequently asked: denial patterns.

Why 80 patterns?
Because the long tail of denial root causes converges on roughly 80 distinct patterns when you cross the CARC and RARC codes with the operational root cause behind them. Inside any specialty, the actionable list is 80 patterns. Beyond 80, the patterns either repeat under different code combinations or fall below a dollar threshold that does not justify focused work.
What are the 10 categories?
Eligibility, authorization, coding, documentation, claim format, coordination of benefits, timely filing, medical necessity, credentialing, and post-pay takeback. Every pattern in the library lands in exactly one category. The category determines whether the pattern is a prevention play or an appeal play.
What is the prevention vs appeal quadrant?
A 2x2 matrix that sorts every pattern by two questions: is the pattern preventable at the front end, and is the pattern recoverable on appeal once denied. Patterns in the high-prevention high-recovery quadrant get the most operational attention. Patterns in the low-prevention low-recovery quadrant are managed by triage.
How many of the 80 patterns are automation candidates?
Twenty-eight patterns are automation candidates in the deterministic sense. They are caught by a deterministic rule at the front end before a claim ships. The other fifty-two require a human judgment call somewhere in the workflow, which means they belong in a workflow tool rather than a rule engine.
What are the 7 specialty cross-cuts?
ABA, behavioral health, FQHC, hospital, specialty practice, multi-specialty group, and Medicare Advantage. The reference includes a specialty cross-cut for each because some patterns are high-frequency in one specialty and rare in another. The cross-cut indexes which patterns matter most by specialty.
What is the pattern-by-payer heatmap?
A 5x10 matrix that scores the frequency of each category against the five largest payer groups. The matrix exposes the payer-specific patterns that a generic denial framework misses. For example, eligibility denials concentrate in Medicaid managed care while medical necessity denials concentrate in commercial.
Can this reference replace a denial-management vendor?
No. The reference is the operating library that augments a denial-management vendor or in-house team. The team still works the denials. The reference is the shared taxonomy and the prevention-vs-appeal logic that anchors how the team prioritizes the work.
How do I use the reference?
Start with the prevention-vs-appeal quadrant for your specialty. The top quadrant gives the prevention plays that pay off first. The pattern-by-payer heatmap gives the payer-specific patterns to layer on. The automation candidates give the rules to build into your front-end scrubber.

Want the 80 patterns applied to your denials?

Send 90 days of denial data with CARC and RARC codes. Inside 30 days, a written quadrant placement, a payer-specific heatmap, and a 28-rule automation candidate list. Yours to keep.