Claim Rejection Types¶
Overview¶
Understanding rejection types is critical for reducing denial rates and improving revenue cycle performance. This document classifies all rejection types and provides guidance for prevention and resolution.
Rejection Classification¶
1. Administrative Rejections¶
Definition: Errors related to patient demographics, provider information, or claim metadata.
Common Causes: - Invalid member ID - Incorrect date of birth - Wrong provider NPI - Missing authorization number - Duplicate claim submission
Prevention: - Real-time eligibility verification - Front-end validation - Duplicate claim detection
Examples:
| Code | Description | Resolution |
|---|---|---|
| A001 | Invalid member ID | Verify with payer |
| A002 | Member not eligible on DOS | Check coverage dates |
| A003 | Provider not contracted | Verify network status |
| A004 | Duplicate claim | Check prior submissions |
| A005 | Missing authorization | Obtain retro-auth |
2. Clinical Rejections¶
Definition: Denials based on medical necessity, clinical appropriateness, or documentation.
Common Causes: - Insufficient documentation - Medical necessity not established - Experimental/investigational - Frequency limits exceeded - Clinical guidelines not met
Prevention: - Complete clinical documentation - Evidence-based protocols - Prior authorization compliance
Examples:
| Code | Description | Resolution |
|---|---|---|
| C001 | Medical necessity not met | Submit clinical evidence |
| C002 | Insufficient documentation | Provide additional records |
| C003 | Experimental procedure | Clinical trial documentation |
| C004 | Frequency limit exceeded | Medical justification |
| C005 | Not covered benefit | Appeal with rationale |
3. Eligibility Rejections¶
Definition: Denials related to coverage status, benefits, or policy terms.
Common Causes: - Coverage terminated - Pre-existing condition exclusion - Waiting period - Benefit exhausted - Out-of-network
Prevention: - Real-time eligibility check before service - Benefits verification - Network status confirmation
Examples:
| Code | Description | Resolution |
|---|---|---|
| E001 | Coverage terminated | Verify with member |
| E002 | Pre-existing exclusion | Appeal with documentation |
| E003 | Waiting period applies | Check effective dates |
| E004 | Annual benefit exceeded | Patient responsibility |
| E005 | Out-of-network | Network exception request |
4. Technical Rejections¶
Definition: Errors in claim format, FHIR validation, or system processing.
Common Causes: - Invalid FHIR bundle - Missing required fields - Schema validation failure - Encoding errors - Timeout/connectivity
Prevention: - Pre-submission validation - FHIR compliance testing - Retry mechanisms
Examples:
| Code | Description | Resolution |
|---|---|---|
| T001 | Invalid FHIR bundle | Validate against schema |
| T002 | Missing required field | Complete all fields |
| T003 | Invalid code system | Use correct terminology |
| T004 | Attachment error | Re-upload documents |
| T005 | System timeout | Retry submission |
5. Coding Rejections¶
Definition: Errors in diagnosis codes, procedure codes, or code combinations.
Common Causes: - Invalid ICD-10 code - Invalid CPT/HCPCS - Code not valid for DOS - Code combination invalid - Missing modifier
Prevention: - Code validation tools - Encoder software - Regular coder training
Examples:
| Code | Description | Resolution |
|---|---|---|
| CO01 | Invalid ICD-10 code | Correct diagnosis code |
| CO02 | Invalid CPT code | Correct procedure code |
| CO03 | Code not valid for DOS | Use date-appropriate code |
| CO04 | Unbundling detected | Review CCI edits |
| CO05 | Missing modifier | Add appropriate modifier |
6. Duplicate Rejections¶
Definition: Claims previously submitted or currently pending.
Common Causes: - Resubmission of paid claim - Multiple claim systems - Batch processing errors - Same service, same date
Prevention: - Claim tracking system - Duplicate detection - Submission logs
Rejection Analysis Framework¶
Root Cause Categories¶
pie title Rejection Distribution
"Administrative" : 30
"Clinical" : 25
"Eligibility" : 20
"Technical" : 10
"Coding" : 10
"Duplicate" : 5 Key Metrics¶
| Metric | Target | Action Threshold |
|---|---|---|
| Overall Denial Rate | < 5% | > 8% |
| First-Pass Rate | > 95% | < 90% |
| Administrative Denials | < 2% | > 4% |
| Clinical Denials | < 1.5% | > 3% |
Payer-Specific Patterns¶
Bupa Arabia¶
- Strict prior authorization
- Detailed clinical documentation
- Frequent network checks
Tawuniya¶
- Focus on coding accuracy
- Timely filing critical
- Package pricing rules
GlobeMed¶
- TPA-specific forms
- Pre-certification mandatory
- Utilization review focus
ClaimLinc Rejection Analysis¶
BrainSAIT's ClaimLinc agent provides:
- Automated Classification - AI-powered rejection categorization
- Root Cause Analysis - Pattern identification
- SAR Loss Estimation - Financial impact calculation
- Resubmission Guidance - Corrective action recommendations
- Trend Reporting - Denial pattern insights
Related Documents¶
Last updated: January 2025