Clean claim software: stopping denials before submission
The edits a claim should pass before it leaves the practice, the X12 claim adjustment reason code (CARC) each one prevents, the system that should run it, and the scrubbing, eligibility and denial tracking features Agnotic builds around them.
For revenue cycle and billing leads, and for the teams building claim scrubbers and practice management software.
Edits by root cause area
- Front end4 edits
- Coding6 edits
- Payer rules5 edits
What does clean claim software do?
Clean claim software runs the edits a claim must pass before submission, so the payer can adjudicate it without a denial or a request for more information. Agnotic Technologies builds these edits into practice management systems, claim scrubbers and clearinghouse integrations, mapping each one to the X12 CARC it prevents and the system that should run it.
Last reviewed by the Agnotic Technologies engineering team
Why do claims get rejected or denied?
Most denials trace back to data the practice already had when the claim was built. These are the failures we see teams hit most often.
Eligibility not checked before the visit
Coverage is checked once at registration, or not at all, so a terminated plan or a wrong member ID only shows up as CARC 27 or 31 weeks later.
NPI and taxonomy mismatches
Billing and rendering NPIs land in the wrong 837 loops, or the taxonomy on the claim does not match the provider's enrollment, and the payer denies for provider type.
Code pair and modifier errors
Procedure pairs fail NCCI edits, modifiers do not fit the code, or units exceed the Medically Unlikely Edit for one date of service.
Duplicate and mis-sent corrected claims
A resubmission goes out as a new claim instead of a corrected or replacement claim with the original claim number, and comes back as an exact duplicate.
Timely filing misses
Each payer has its own filing window, and without an aging queue that warns ahead of time, claims cross the limit while sitting in rework.
837 syntax rejections at the clearinghouse
Files fail implementation guide checks, and nobody reads the 999 and 277CA responses, so rejected claims look sent until the payer never pays.
What do we build to stop denials?
Agnotic Technologies builds these features into the client's practice management system, claim scrubber or clearinghouse integration, scoped to the client's payers, specialties and workflows.
Claim scrubbing rules engine
Configurable pre-submission edits for units, modifiers, diagnosis links, age and sex, place of service and required fields, versioned so every rule change is traceable.
Real-time eligibility checks
X12 270/271 requests at scheduling and check-in, with the response compared to registration data before a charge is attached.
Payer-specific edit libraries
Rule sets per payer for filing limits, required fields, attachments and provider set-up, kept apart from the core edits so one payer's change does not touch the rest.
Code set updates by effective date
MUE and NCCI tables and ICD-10-CM codes loaded by effective date, so a claim is checked against the codes valid on its date of service.
Authorization matching
Claim lines matched to the approved service, provider, date range and units on the authorization, with a flag when units run past what was approved.
999 and 277CA acknowledgment tracking
Every outbound 837 tracked through its acknowledgments, with rejected claims routed back to a queue instead of sitting as sent.
Denial root cause dashboards
835 remittances parsed and tagged by CARC, group code and root cause area, so each recurring denial points to the edit that should have caught it.
Work queues and filing alerts
Queues by owner and root cause, with aging against each payer's filing window and corrected claims sent with the right frequency code.
Pre-submission edits and the denials they prevent
Each edit shows the root cause area that has to fix a failure. CARC wording is quoted or shortened from the X12 code list; payers can use other codes for the same problem.
| Edit | Example rule | CARC it prevents | Owner system | Root cause area |
|---|---|---|---|---|
| Patient identity matches the payer | Member ID, name and date of birth match the card or eligibility response exactly | 31 Patient cannot be identified as our insured; 140 ID and name do not match | Practice management | Front end |
| Coverage active on the date of service | Plan dates on file cover the date of service, not just today | 27 Expenses incurred after coverage terminated | Practice management | Front end |
| Right payer, right order | Primary and secondary payers set from the coordination of benefits answers, not the last claim | 22 May be covered by another payer per coordination of benefits; 109 Not covered by this payer | Practice management | Front end |
| Prior authorization on file | An approved authorization exists for this service, provider, date range and number of units | 197 Precertification, authorization or notification absent | Practice management | Front end |
| Units within the MUE | Units for each code on one date of service do not exceed the Medically Unlikely Edit value for that code | 151 Information submitted does not support this many or frequency of services | Claim scrubber | Coding |
| Procedure and modifier consistentCoding and eligibility edits in medical billing software | Modifiers are valid for the code and pairs pass NCCI procedure-to-procedure edits | 4 Procedure code inconsistent with the modifier used | Claim scrubber | Coding |
| Diagnosis supports the procedure | At least one linked diagnosis is on the payer's covered list for the procedure | 11 Diagnosis inconsistent with the procedure | Claim scrubber | Coding |
| Diagnosis valid and specific for the date | Each ICD-10-CM code is a billable code, valid on the date of service, not a category header | 146 Diagnosis was invalid for the date(s) of service reported | Claim scrubber | Coding |
| Age and sex consistent | Procedure and diagnosis are plausible for the patient's age and sex on record | 6, 7 Procedure inconsistent with age or gender; 9, 10 Diagnosis inconsistent with age or gender | Claim scrubber | Coding |
| Place of service consistent | The place of service code fits the procedure and the provider's location | 5 Procedure code or bill type inconsistent with the place of service | Claim scrubber | Coding |
| Provider identifiers and taxonomy | Billing and rendering NPIs are in the right loops and the taxonomy fits the service | 8 Inconsistent with provider type or specialty (taxonomy); 185 Rendering provider not eligible | Claim scrubber | Payer rules |
| Not a duplicate | No earlier claim for the same patient, date, code, modifiers and provider unless it is a corrected claim | 18 Exact duplicate claim or service | Practice management | Payer rules |
| Inside the filing window | Days since the date of service are below the payer's filing limit, with an alert well before the limit | 29 The time limit for filing has expired | Practice management | Payer rules |
| Required information and attachments present | Payer-specific required fields and attachment indicators are filled | 16 Claim lacks information or has submission or billing errors; 252 Attachment required | Claim scrubber | Payer rules |
| 837 syntax and acknowledgmentsX12 EDI integration | The file passes 837 implementation guide checks; 999 and 277CA responses are read | None: a syntax failure is rejected before adjudication | Clearinghouse | Payer rules |
Which system should run each edit?
Run each edit as early as the data allows. The earlier it runs, the cheaper the fix, because the person who can correct it is still in the room.
Practice management
Owns everything known at registration and scheduling: identity, coverage, payer order, authorization, duplicates and the filing clock. Edits here stop a claim from being created wrong.
6 edits in the table
Claim scrubber
Owns the coding and payer content edits once charges exist: units, modifiers, diagnosis links, age and sex, place of service and payer-specific fields.
8 edits in the table
Clearinghouse
Owns the file: 837 syntax, payer routing and acknowledgments. It catches what the other two missed, but late, after the claim has left the practice.
1 edits in the table
Which edits do scrubbers most often get wrong?
Six edits that look simple and fail in practice, with the data each one needs.
MUE units
Medically Unlikely Edits from the CMS National Correct Coding Initiative set the most units of one code a provider would report for one patient on one date of service. The edit needs the current MUE table, the units per line and a rule for whether the payer applies the limit per line or per day.
Diagnosis specificity
A code that was valid last year may be split or retired this year. The edit needs ICD-10-CM codes by effective date, and must check billable codes, not the category above them.
Duplicate claims
Exact duplicates are easy. The hard cases are resubmissions that should have been sent as corrected or replacement claims, which need the original claim number and the right frequency code, not a new claim.
Timely filing
Each payer has its own window from the date of service, and Medicare's is set in regulation. The edit needs the limit per payer and an aging queue that warns weeks ahead, not on the last day.
Prior authorization on file
An authorization number alone is not enough. The edit matches the authorized service, provider, date range and units to the claim lines, and flags units used beyond what was approved.
Front-end registration
Most identity and coverage denials start with one wrong character at check-in. The edit compares registration data with the latest eligibility response and stops the claim before a charge is attached.
Which root cause does each denial point to?
When a denial does arrive, its CARC tells you which area to send it to, so the fix goes upstream instead of into a rework queue.
- Front end
- Registration, eligibility, coordination of benefits and authorization. Fix the intake step or the eligibility check, not the claim.
- Coding
- Units, modifiers, diagnosis codes and code pairs. Fix the charge capture rule or give coders feedback on the pattern.
- Payer rules
- Duplicates, filing limits, provider set-up and payer-specific fields. Fix the payer's rule set in the scrubber or the provider enrolment.
Tag every denial with its root cause area from the CARC and group code on the 835.
Count by area and by edit each month, so each fix has an owner.
For each recurring CARC, add or tighten the pre-submission edit in this table that should have caught it.
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Which code lists and rules back the table?
CARC wording comes from the X12 code list; the filing and NPI rules from the regulations on eCFR.
X12 maintains the Claim Adjustment Reason Codes that explain why a claim or service line was paid differently than billed; for example, CARC 18 is "Exact duplicate claim/service" and CARC 29 is "The time limit for filing has expired."
Source: X12, Claim Adjustment Reason CodesX12 claim adjustment group codes assign responsibility for an adjustment: CO for contractual obligation, PR for patient responsibility, OA for other adjustment and PI for payer initiated reduction.
Source: X12, Claim Adjustment Group CodesFor Medicare services furnished on or after 1 January 2010, a claim must be filed no later than the close of the period ending one calendar year after the date of service, except as the regulation provides.
Source: 42 CFR 424.44 (eCFR)HIPAA requires covered health care providers to obtain a National Provider Identifier (NPI) and use it on standard transactions, such as claims, wherever a provider identifier is required.
Source: 45 CFR 162.410 (eCFR)
Which standards does Agnotic build billing software to?
HIPAA
Health Insurance Portability and Accountability Act
Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.
GDPR
General Data Protection Regulation
Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.
FHIR
Fast Healthcare Interoperability Resources
Enable standardized health data exchange across apps, care teams, and systems through standards-based FHIR APIs.
HL7
Health Level Seven International
Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.
HITRUST
Health Information Trust Alliance
Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.
HITECH
Health Information Technology for Economic and Clinical Health Act
Design with breach notification readiness, digital record safeguards, and operational controls that support regulated care programs.
SaMD
FDA Software as a Medical Device
Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.
MDR (EU)
Medical Device Regulation (European Union)
Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.
SAMHSA
Substance Abuse and Mental Health Services Administration
Apply confidentiality controls and consent-aware sharing models for behavioral and mental health data experiences.
What does this page leave out?
- Payer-specific rule sets
- Each payer adds its own edits and codes. Load those into your scrubber; this table gives the shape, not every payer's rules.
- Secondary claims
- Coordination of benefits edits for the secondary claim built from the primary remittance are a separate set.
- Denial rates
- We do not publish denial rates or benchmarks. Measure your own by CARC and root cause area.
- Coding advice
- Which code is correct for a service is a coding decision for certified coders and your compliance team.
Related revenue cycle services
Agnotic Technologies builds these edits into practice management, scrubber and clearinghouse integrations for clients.
- Medical billing softwareCharge capture, coding integrity, eligibility and clearinghouse-ready 837 claims.
- X12 EDI integration837 claims, 835 remittance, 270/271 eligibility and acknowledgments.
- AI claims denial managementPredict denials before submission and draft appeals from CARC patterns.
- Revenue cycle management solutionsCompare the ways to run and improve the revenue cycle.
- Claims processing automationAutomate claim intake, edits and status follow-up.
- Claims scrubbing vs coding automationWhich claim errors each layer catches, and which to automate first.
- RCM software developmentCustom revenue cycle software for claims and denials.