A claim can be clinically accurate and still get stopped because of something as simple as an outdated insurance ID, a missing modifier, an authorization mismatch, or incomplete claim data. That is why effective Athenahealth claim scrubbing is less about fixing rejected claims after the fact and more about catching problems while there is still time to correct them.
By strengthening pre-submission checks, understanding common Athenahealth error messages, applying appropriate medical billing scrubbing rules, and learning from recurring rejection patterns, billing teams can reduce avoidable rework and improve the quality of claims headed to the clearinghouse.
Athenahealth describes its claim-review process as covering areas such as coding, medical policy, benefits, patient insurance, documentation, authorizations/referrals, and claim data and formatting.
What Is Athenahealth Claim Scrubbing?
Claim scrubbing is the process of reviewing a medical claim for potential errors before it moves further through the submission and reimbursement cycle.
In an Athenahealth workflow, scrubbing can help identify problems involving patient information, insurance, coding, documentation, authorization, and claim formatting. The objective is straightforward: find preventable problems before the claim reaches the clearinghouse or payer.
This matters because a rejected claim creates more than a billing problem. It can mean:
- Additional staff work
- Delayed reimbursement
- Corrective coding or data-entry work
- Resubmission activity
- More opportunities for filing errors
- Greater administrative burden
Athenahealth says its rules engine uses continuously updated rules to identify missing, misaligned, or inaccurate information before submission.
Why Claim Scrubbing Matters Before Clearinghouse Submission
A clearinghouse performs important validation, but practices should not rely on the clearinghouse to be their first line of defense.
The earlier an error is identified, the easier it can generally be to investigate and correct. For example, discovering a missing authorization before submission gives the billing team an opportunity to verify the authorization instead of waiting for a rejection and then beginning the investigation.
This is the central idea behind effective claim scrubbing:
Capture accurate information → validate it → identify exceptions → correct them → recheck the claim → submit.
Common Athenahealth Claim Scrubbing Errors to Watch For
Not every claim-scrubbing error has the same cause. Grouping errors into categories makes troubleshooting much more systematic.
Patient Demographic and Insurance Errors
Incorrect patient or insurance information can prevent an otherwise valid claim from processing correctly.
Common issues include:
- Incorrect patient name or date of birth
- Invalid member ID
- Incorrect subscriber information
- Outdated insurance information
- Incorrect payer selection
- Eligibility problems
- Coordination-of-benefits discrepancies
- Missing insurance details
Athenahealth identifies demographic, insurance, and eligibility information as important areas for preventing claim problems. Its recent coding guidance also notes that demographic and patient-data errors are among common causes of claim rejection.
The solution is not complicated in principle: make accurate information capture part of the workflow rather than treating it as something that only needs to be corrected after a claim fails.
Coding and Modifier Errors
Coding problems are another major source of claim issues.
Billing teams should review:
- CPT codes
- HCPCS codes
- ICD-10 diagnosis codes
- Modifiers
- Code combinations
- Bundling and unbundling
- Laterality
- Documentation supporting the billed service
Modifier mistakes deserve particular attention. Athenahealth notes that missing or inappropriate modifiers can create claim problems, while NCCI edits can flag incompatible code combinations.
The important point is that a billing team should never change a code simply to make an error message disappear. The code should accurately represent the documented service and applicable coding requirements.
Authorization and Referral Problems
Some claims fail because the necessary authorization or referral information is missing, expired, or inconsistent with the service being billed.
Before submission, check whether:
- Prior authorization was required
- The authorization was obtained
- The authorization is still valid
- The authorization applies to the billed service
- The referral requirement has been satisfied
- Relevant authorization information has been captured correctly
Athenahealth’s claim-review documentation specifically includes authorizations and referrals among the areas reviewed for claim issues.
Claim Formatting and Data Errors
A claim can also fail because required information is incomplete or incorrectly formatted.
Review:
- Required claim fields
- Billing and rendering provider information
- Payer information
- Claim type
- Service information
- Patient information
- Required identifiers
- Electronic claim formatting
These issues are especially important because they can stop a claim before normal payer adjudication.
How to Interpret Athenahealth Error Codes and Scrubbing Messages
When an Athenahealth claim generates an error, the first instinct may be to correct the field that appears highlighted and move on.
A better approach is to understand why the error occurred.
Start With the Exact Error Message
Read the complete error or scrubbing message before making a change.
Ask:
- Which claim field triggered the message?
- Is the issue related to coding?
- Is patient information incomplete?
- Is insurance information inconsistent?
- Is documentation missing?
- Is authorization required?
- Is this a payer-specific requirement?
This prevents unnecessary changes to otherwise accurate claim information.
Determine Whether the Error Is Data, Coding, or Payer Related
A simple classification system can make troubleshooting faster:
| Error Category | What to Review |
| Patient data | Demographics, subscriber information, member ID |
| Eligibility | Active coverage and payer information |
| Coding | CPT, HCPCS, ICD-10, modifiers |
| Documentation | Clinical support for the billed service |
| Authorization | Referral and authorization requirements |
| Formatting | Required claim fields and data structure |
| Payer rules | Plan-specific submission requirements |
Once the category is known, the appropriate person can address the problem instead of sending the claim through repeated cycles of trial and error.
Don’t Treat Every Scrubbing Alert the Same
A claim-scrubbing message is an indication that something requires review. It is not automatically proof that the underlying clinical or billing information is wrong.
For example, if a modifier is flagged, the billing team should review the documentation, coding guidelines, and applicable payer requirements before changing it.
The goal should always be accurate claims, not simply claims that pass an automated check.
Pre-Submission Claim Checks: A Practical Athenahealth Checklist
A consistent set of pre-submission claim checks can help billing teams catch common issues before claims move to the clearinghouse.
Verify Patient and Insurance Information
Before releasing a claim, confirm:
- Patient name
- Date of birth
- Member ID
- Group number, when applicable
- Subscriber information
- Payer
- Eligibility
- Coordination of benefits
- Other relevant insurance information
Small registration errors can become major billing problems when they travel downstream into the claim.
Review Coding and Documentation
Next, compare the claim against the documentation.
Check that:
- Diagnosis codes accurately reflect the encounter
- Procedure codes match the service provided
- Modifiers are supported
- Code combinations are appropriate
- NCCI edits have been considered where applicable
- Documentation supports the billed service
- Medical necessity requirements are addressed
Athenahealth’s current guidance highlights modifier misuse, NCCI edit violations, documentation gaps, and coding discrepancies as areas that can contribute to claim problems.
Confirm Provider and Payer Requirements
Review:
- Rendering provider
- Billing provider
- Applicable provider identifiers
- Payer requirements
- Authorization information
- Referral requirements
- Payer-specific billing instructions
A claim can be technically complete while still missing information required by a particular payer.
Perform a Final Claim Scrub
The final review should answer one question:
Is there anything identifiable right now that could prevent this claim from being accepted or processed correctly?
If the answer is yes, correct the issue and run the appropriate checks again before submission.
Medical Billing Scrubbing Rules That Help Prevent Rejections
Effective medical billing scrubbing rules are designed to identify predictable claim problems before they become downstream rejections or denials.
Coding Validation Rules
These rules may check for:
- Invalid codes
- Incompatible code combinations
- Modifier issues
- Bundling problems
- NCCI edits
- Diagnosis and procedure relationships
Coding rules should be applied alongside documentation review rather than treated as a replacement for professional coding judgment.
Patient and Eligibility Rules
These checks can focus on:
- Patient demographics
- Insurance information
- Eligibility
- Subscriber matching
- Payer selection
The earlier these issues are identified, the less likely they are to become repetitive claim corrections.
Payer-Specific Rules
Different payers can have different requirements.
Depending on the payer and service, billing teams may need to check:
- Authorization
- Referral requirements
- Coverage rules
- Claim formatting
- Specific coding requirements
- Plan-specific billing instructions
Athenahealth notes that its claim-scrubbing capabilities can identify payer-specific checks and help practices follow individual insurer requirements.
Documentation and Medical Necessity Rules
Scrubbing should also consider whether the documentation supports what is being billed.
For example, if a service requires specific documentation, the billing workflow should identify that gap before submission rather than waiting for the payer to question the claim.
Keep Scrubbing Rules Current
Billing rules do not remain static.
Coding requirements, payer policies, and claim requirements can change. Athenahealth states that its rules engine is continually updated, and its current materials describe ongoing rule changes designed to help prevent claim issues before submission.
For practices managing their own billing workflows, this makes ongoing review and staff education particularly important.
How to Fix Clearinghouse Rejections Before They Become Repeated Problems
Knowing how to fix clearinghouse rejections is important, but the real objective should be preventing the same rejection from happening repeatedly.
Step 1: Identify the Rejection Source
First, determine where the problem originated.
Was it:
- An Athenahealth scrubbing rule?
- A clearinghouse validation?
- A payer requirement?
- Incorrect patient information?
- A coding issue?
- Missing documentation?
- An authorization problem?
Knowing the source helps determine the appropriate corrective action.
Step 2: Correct the Root Cause
Avoid repeatedly resubmitting the same claim without changing the underlying problem.
Instead:
- Review the rejection.
- Identify the root cause.
- Correct the affected information.
- Validate the correction.
- Recheck the complete claim.
For example, if the rejection resulted from an incorrect member ID, simply resubmitting the claim will not solve the problem. The insurance information needs to be verified and corrected first.
Step 3: Re-Scrub the Corrected Claim
After making a correction, review the entire claim again.
This matters because fixing one issue can sometimes reveal another.
The corrected claim should go through the appropriate validation process before being released for submission.
Step 4: Track Recurring Rejections
A rejection should not disappear from your system simply because the individual claim was corrected.
Track recurring problems by:
- Payer
- Error category
- Procedure
- Provider
- Location
- Root cause
- Correction
- Frequency
Over time, this information can show whether a problem is isolated or part of a broader workflow issue.
How to Reduce Initial Claim Drops in Athenahealth
Reducing initial claim drops starts before the claim is even created.
The strongest workflows address errors at the point where they originate.
Improve Front-End Data Capture
Start with registration.
Make sure staff consistently capture:
- Correct demographics
- Current insurance
- Subscriber information
- Eligibility details
- Authorization information
- Referral information when applicable
The fewer data corrections needed later, the smoother the claim workflow becomes.
Strengthen Coding Review
Coding teams should have a consistent process for reviewing high-risk areas such as:
- Modifiers
- NCCI edits
- Laterality
- Diagnosis-procedure relationships
- Documentation requirements
- Specialty-specific coding requirements
Athenahealth’s recent guidance emphasizes that many coding mistakes follow recurring workflow patterns, making process improvement as important as individual claim correction.
Build a Pre-Submission Exception Workflow
Rather than treating every claim identically, create an exception workflow:
Identify → Review → Correct → Recheck → Release
Claims with unresolved issues should be routed to the appropriate billing, coding, or administrative resource.
This prevents the same team from repeatedly handling the same avoidable problem.
Monitor Rejection Trends by Payer
One payer may generate more eligibility-related problems while another may produce more authorization or coding-related issues.
Track those differences.
A useful rejection report can reveal:
- Which payer generates the most errors
- Which error category occurs most often
- Which services are frequently affected
- Whether the same issue is occurring across multiple providers
- Whether a workflow change reduced the problem
That turns rejection management into a continuous improvement process.
Athenahealth Claim Scrubbing Troubleshooting Workflow
A repeatable workflow makes troubleshooting much easier:
Claim Created
↓
Initial Scrub
↓
Error Identified
↓
Root Cause Review
↓
Correction
↓
Re-Scrub
↓
Final Validation
↓
Clearinghouse Submission
↓
Payer Processing
The key is not simply having a scrubbing step. The workflow needs a clear process for what happens after an error is identified.
Athenahealth’s documentation describes claim-rule review across coding, medical policy, benefits coverage, insurance, documentation, authorization/referrals, and claim data and formatting.
When an Athenahealth Claim Keeps Failing the Scrub
Repeated scrubbing failures usually deserve a deeper review instead of repeated corrections.
Check for Conflicting Information
Look for discrepancies between:
- Patient and subscriber information
- Diagnosis and procedure
- Authorization and billed service
- Provider and payer information
- Documentation and coding
The problem may not be one incorrect field; it may be a conflict between multiple fields.
Review the Original Documentation
If the claim contains a coding-related error, return to the documentation.
Ask:
Does the documentation support the code and modifier being billed?
If not, the appropriate action is to resolve the underlying coding or documentation issue, not to force the claim through the scrub.
Check Whether the Issue Is Payer-Specific
A claim that is acceptable under one payer’s requirements may encounter a different requirement under another.
Document recurring payer-specific issues so staff can identify them earlier in future claims.
Escalate Persistent or Unclear Errors
Some problems require additional expertise.
Depending on the issue, escalation may involve:
- A certified coder
- Billing supervisor
- Practice administrator
- Payer representative
- Clearinghouse support
- Athenahealth support
The purpose of escalation is to establish the correct resolution rather than repeatedly submitting an unresolved claim.
How to Build a Repeatable Claim Scrubbing Process
Claim scrubbing becomes more effective when it is treated as an ongoing revenue-cycle process rather than a single software function.
Create an Error Taxonomy
Organize errors into consistent categories:
- Eligibility
- Demographics
- Coding
- Documentation
- Authorization
- Formatting
- Payer-specific requirements
This makes reporting much easier.
Track Key Claim Quality Metrics
Useful metrics can include:
- Initial rejection rate
- Clean claim rate
- Claims requiring manual correction
- Rejection rate by payer
- Rejection rate by error category
- Average correction time
- Recurring rejection volume
Athenahealth itself reports a 98.4% clean claim submission rate for athenaOne based on its cited data, while also describing built-in checkpoints and rules intended to identify missing, misaligned, or inaccurate information before submission.
When tracking your own results, however, make sure metrics are defined consistently. A “clean claim” or “rejection” can mean different things depending on the reporting methodology.
Use Rejection Data to Improve the Front End
Suppose the same insurance error appears repeatedly.
The answer may not be another billing correction.
The real solution could be:
- Better registration training
- Earlier eligibility verification
- Improved insurance-card capture
- A workflow change
- Additional validation
- A payer-specific checklist
This is how claim-scrubbing data can become a tool for improving the entire revenue cycle.
Athenahealth Billing Services for Better Claim Management
For practices that continue to encounter recurring scrubbing errors, clearinghouse rejections, coding challenges, or claim-management bottlenecks, professional billing support can provide an additional layer of expertise.
A specialized Athenahealth Billing Services workflow can support areas such as claim preparation, coding review, submission management, rejection follow-up, and broader revenue-cycle processes.
The goal is not simply to correct individual claims but to identify recurring issues and create processes that help prevent them from returning.
Summary
Athenahealth claim scrubbing works best when it is treated as a prevention strategy, not simply a last-minute error check.
Accurate patient and insurance information, appropriate coding, complete documentation, valid authorization, payer-specific requirements, and properly formatted claim data all contribute to cleaner submissions. Athenahealth’s own materials emphasize these areas as part of its claim-review and denial-management workflows.
The most effective approach is simple:
Scrub → identify → correct → recheck → submit.
When billing teams also track recurring rejection patterns, they can move beyond fixing individual claims and start improving the workflows that cause those problems in the first place.
