A medical claim can contain the correct procedure code and still be rejected because of an incorrect insurance identification number, missing provider information, or an invalid place of service. These errors increase the workload for billing teams and may slow down insurance payments.
eClinicalWorks Claim Scrubbing Features help medical practices identify potential billing errors before claims reach insurance payers. By combining automated claim validation, electronic eligibility verification, billing rules, and clearinghouse integrations, the software supports a more accurate claims submission process.
The eClinicalWorks electronic health records (EHR) and practice management system also connects clinical documentation with billing workflows. This helps billing professionals identify discrepancies between recorded services and submitted claim information.
However, automated checks have limitations. Their effectiveness depends on the practice’s software configuration, clearinghouse services, payer requirements, and the accuracy of the original documentation.
Understanding these distinctions is essential for healthcare providers and medical billing professionals who want to reduce preventable claim rejections without relying entirely on automation.
What is claim scrubbing in eClinicalWorks?
Medical billing claim scrubbing involves reviewing insurance claims for incomplete details, coding errors, and possible billing compliance issues before submitting them to payers.
In eClinicalWorks, claim review is supported through its practice management system and integrated clearinghouse services. The company’s published financial integration documentation identifies real-time claim scrubbing, eligibility verification, claim status updates, clearinghouse reports, and electronic remittance advice among its supported services.
A claim scrubber evaluates information that may affect acceptance or reimbursement. Typical review areas include patient demographics, Current Procedural Terminology (CPT) codes, ICD-10-CM diagnosis codes, Healthcare Common Procedure Coding System (HCPCS) codes, provider identifiers, and payer-specific requirements.
For example, a cardiology practice might submit an office visit and diagnostic procedure on the same date. If the claim contains incompatible codes or missing information, applicable editing rules may identify the issue before transmission.
The billing professional can then review the documentation, correct the claim when appropriate, and submit it.
A clean claim is generally understood as one that can be processed without additional information or correction. Passing an automated scrubber does not guarantee payment, because the insurer may apply coverage, medical necessity, authorization, or contractual requirements during adjudication.
eClinicalWorks claim scrubbing features and how they work
1. Automated claim validation
Automated claim validation helps identify incomplete or inconsistent billing information before a claim enters the payer’s processing system.
eClinicalWorks describes claim scrubbing and submission automation within its revenue cycle management (RCM) technology. Its current product information also describes tools for creating claim-edit rules and using payer rejection information to improve future claim processing.
Claim validation may involve checking required patient identifiers, billing provider information, diagnosis entries, service dates, and charge details.
The exact edits available to a practice depend on its implementation and connected services. A practice should confirm which validation rules operate inside eClinicalWorks and which are performed by its clearinghouse.
2. Insurance eligibility and demographic verification
Patient demographic errors are a frequent source of avoidable claim rejections. Incorrect dates of birth, subscriber identifiers, names, or insurance information can prevent a claim from matching payer enrollment records.
eClinicalWorks supports electronic insurance eligibility verification through its financial integrations. Its RCM product documentation also explains how ANSI 271 eligibility response data is interpreted to show insurance benefits specific to each patient visit.
For example, a patient may have a new insurance policy in place before their scheduled appointment. The practice may still have the previous member identification number stored in its registration records.
Checking eligibility helps staff detect coverage discrepancies before delivering care or filing the insurance claim.
However, a successful eligibility response does not establish that a particular procedure is covered or medically necessary.
3. CPT, HCPCS, and diagnosis code validation
Coding accuracy affects whether insurers can correctly evaluate submitted medical services.
Claim editing tools can help identify missing diagnosis information, invalid coding combinations, or codes that are not appropriate for the reported service date.
For instance, using an outdated procedure code can cause a claim to violate the payer’s coding guidelines. Billing teams must use code sets that apply to the date of service, particularly when annual coding updates change available codes or descriptions.
Diagnosis-to-procedure compatibility also requires attention. The presence of a valid ICD-10-CM code does not automatically establish medical necessity for a CPT or HCPCS service.
Staff should compare claim information with the medical record and applicable payer policies rather than selecting a different diagnosis simply to remove an editing warning.
4. NCCI edits and modifier accuracy
The National Correct Coding Initiative (NCCI), overseen by the Centers for Medicare & Medicaid Services (CMS), uses coding edits to help prevent improper payments for specific combinations of procedures.
Two major categories are procedure-to-procedure (PTP) edits and medically unlikely edits (MUEs).
PTP edits identify code combinations that generally should not be reported together under specified circumstances. MUEs address the number of units reported for individual procedures.
CMS updates NCCI edit files quarterly. Its fourth-quarter 2026 practitioner edit files became effective October 1, 2026.
For eClinicalWorks claim scrubbing NCCI edits, practices should verify whether their configured editing tools or clearinghouse apply the current Medicare or Medicaid files.
Modifier accuracy requires separate clinical review. For example, modifier 59 or the more specific XE, XP, XS, and XU modifiers may be appropriate when documentation establishes a distinct service and the applicable NCCI edit permits modifier use.
CMS’s April 2026 modifier guidance emphasizes appropriate use of these modifiers. An automated warning should never be resolved by adding a modifier without supporting documentation.
5. Place of service validation
Place of service (POS) codes indicate the location where medical care was delivered. Using an incorrect POS code may impact reimbursement or conflict with the payer’s billing guidelines.
For example, POS 11 identifies an office setting, while POS 02 and POS 10 distinguish telehealth services based on the patient’s location.
According to the CMS Place of Service Code Set, POS 02 applies when telehealth services are provided to a patient outside their home, and POS 10 identifies telehealth received in the patient’s home.
A practice using eClinicalWorks should verify that its claim editing configuration checks applicable POS requirements, especially when billing office visits, hospital services, and telehealth encounters.
6. Medical necessity and payer-specific billing rules
Medical necessity checks help identify situations in which a reported diagnosis may not satisfy an insurer’s coverage requirements for a particular procedure.
Medicare coverage policies include National Coverage Determinations (NCDs) and Local Coverage Determinations (LCDs). These policies define the requirements that certain services must meet to be eligible for reimbursement.
For example, a diagnostic test might be correctly coded but still require documentation supporting the reason it was ordered.
A claim editing system may flag certain diagnosis and procedure combinations when relevant rules indicate a possible coverage issue.
However, the final medical necessity determination can depend on information that an automated claim scrubber cannot evaluate, including clinical findings and medical records. Billing professionals should consult applicable coverage policies rather than treating automated validation as proof of coverage.
eClinicalWorks claim scrubbing common errors
Common medical claim errors involve several different types of information. Some can be identified through automated validation, while others require reviewing patient records and payer instructions.
The following table presents common errors that practices should include in their claim review process. It is a practical checklist, not a verified inventory of every edit included in eClinicalWorks.
Common claim error | Recommended review |
Incorrect patient demographics | Compare patient details with insurance enrollment records |
Missing or incorrect NPI | Verify rendering and billing provider identifiers |
Invalid CPT or ICD-10-CM code | Confirm code validity for the date of service |
NCCI code conflicts | Review applicable PTP edits and modifier requirements |
Incorrect modifiers | Check documentation and payer-specific instructions |
Wrong place of service | Compare POS with the actual service setting |
Unsupported diagnosis | Review documentation and coverage requirements |
Incorrect service units | Check billed units against documentation and relevant MUEs |
Duplicate claims | Review previous submissions and claim status |
Missing authorization | Verify payer authorization requirements and approval records |
Duplicate claim detection deserves particular attention because two similar claims are not necessarily duplicates. A patient may legitimately receive repeated services on the same date when clinical circumstances and coding rules support separate billing.
Similarly, an editing warning does not automatically establish that the claim contains an error.
How eClinicalWorks claim scrubbing improves billing accuracy
Reducing avoidable claim rejections
Pre-submission claim review gives billing teams an opportunity to correct errors before transmitting claims.
A missing provider identifier or invalid insurance number may be discovered within the practice’s billing workflow instead of through a subsequent clearinghouse rejection.
This can reduce the number of claims requiring correction and resubmission, although the improvement depends on the errors being detected and corrected.
Improving first-pass claim acceptance
First-pass claim acceptance measures how frequently claims are accepted during their initial submission, according to the measurement method being used.
In an October 22, 2012, announcement titled eClinicalWorks Launches Revenue Cycle Management, the company reported a 98% first-pass acceptance rate associated with its automated claims scrubbing and clearinghouse integration.
That figure is a historical company-reported result, not a verified performance rate for all eClinicalWorks installations in 2026. Practices should evaluate their own submission reports rather than applying that percentage to current operations.
Supporting claim tracking and follow-up
Pre-submission validation represents only one stage of electronic claims processing.
After transmission, billing teams must review clearinghouse responses and payer acknowledgments to determine whether a claim entered processing successfully.
CMS identifies separate electronic transactions for eligibility verification, claim acknowledgment, claim status inquiries, and payment advice.
For example, a 277CA acknowledgment can indicate whether an individual claim was accepted or rejected during front-end processing. It does not establish that the claim has been approved for payment.
eClinicalWorks clearinghouse integrations provide claim status updates and reporting capabilities that can support this follow-up process.
How to improve claim scrubbing results in eClinicalWorks
The most useful configuration changes usually begin with analyzing actual errors rather than activating additional rules without reviewing their purpose.
Billing managers should examine rejection reports and denial patterns to identify problems that occur repeatedly. If numerous claims are rejected because of missing provider information, the practice should investigate its provider records and claim generation workflow.
Payer-specific claim edits also require periodic review. An insurer may change billing instructions, while CMS updates coding edits or coverage-related guidance.
Staff should establish a consistent procedure for reviewing flagged claims. Every correction should be supported by the medical record, payer requirements, or valid administrative information.
Four performance measures are particularly useful when evaluating changes to the claim scrubbing workflow:
- First-pass claim acceptance rate, measured using a consistent acceptance definition.
- Clearinghouse and payer rejection rates, tracked separately.
- Average time needed to correct and resubmit rejected claims.
- Denial frequency by payer, service, and reason.
Comparing these measurements before and after configuration changes provides stronger evidence of improvement than counting the number of warnings generated by the software.
Limitations of automated claim scrubbing
Automated claim validation cannot replace professional coding review.
A scrubber may accept a correctly formatted claim even when the medical documentation does not support the billed service. It may also miss requirements that depend on a patient’s benefit design, prior authorization, or clinical circumstances.
The eClinicalWorks billing module may use multiple editing mechanisms, including practice-configured rules and integrated clearinghouse edits. Practices should confirm which checks their particular software setup performs.
Billing staff must also distinguish between a claim rejected before adjudication and a claim denied after payer review. These outcomes require different follow-up procedures, particularly when determining whether to correct an initial submission, file a corrected claim, or pursue an appeal.
Conclusion
eClinicalWorks Claim Scrubbing Features support billing accuracy by helping practices examine claim information before submission and monitor errors identified during electronic claims processing.
Verified eClinicalWorks capabilities include real-time claim scrubbing through partnered clearinghouses, insurance eligibility verification, claim status reporting, and automated RCM workflows.
The accuracy of submitted claims still depends on current coding rules, correct patient information, complete documentation, and effective billing oversight.
For healthcare practices, the most useful approach combines configured claim edits with trained billing professionals who investigate warnings, verify payer requirements, and review rejection and denial data.