How AI Improves the Claim Submission Process in Medical Billing

The claim submission process is an important aspect of the revenue cycle of healthcare providers. The right and timely submission of claims can ensure that any unnecessary rejections or denials are avoided. Still, even if a claim is submitted correctly, its payment can be contingent on other issues such as eligibility, benefits, medical necessity, authorization, and payer policies. In 2026, there is an increasing application of AI in the revenue cycle of healthcare organizations, from coding to claim validation and denial analysis, and understanding how artificial intelligence works in the process of claim submission is crucial for success in this field.

This article details how the claim submission process in medical billing is carried out, what the most common weak points are, and how AI transforms everything.

What Is the Claim Submission Process in Medical Billing?

The claim submission process begins with preparing claim information and continues through electronic transmission, payer or clearinghouse acknowledgments, adjudication, and the resulting payment, denial, rejection, or request for additional information. Almost all electronic claims in America are filed in the ANSI X12 837 transaction set; 837P refers to professional claims, 837I to institutional claims, and 837D to dental claims. For electronic claims, providers use the applicable X12 837 transaction, such as 837P for professional claims and 837I for institutional claims. Paper claims may still be submitted using forms such as CMS-1500 for professional claims and CMS-1450 (UB-04) for institutional claims when permitted.

The claim submission process usually goes through these stages:

• The provider’s EHR or Practice Management creates the claim information from the coded visit.
• The claim information is bundled into the 837 transaction and transmitted to the clearinghouse.
• The clearinghouse validates the claim information and transmits it to the appropriate payer.
• Depending on the trading partner and clearinghouse workflow, acknowledgments may include a 999 Functional Acknowledgment and a 277CA Health Care Claim Acknowledgment. The 277CA can indicate whether the claim was accepted or rejected at that stage of processing.
• Claims that pass the applicable edits can proceed to adjudication. After adjudication, the payer may send payment and remittance information through the X12 835 electronic remittance advice transaction.

Given that claim submission in medical billing involves multiple systems, standards, and validation checks, even minor mistakes – a wrong code, a missing modifier, an incomplete patient ID – can cause the claim to bounce back to the provider without a human review.

Why the Traditional Claim Submission Process Breaks Down

Although there have been many years of standardizing on the 837 format, the process of submitting medical claims is one of the most error-prone processes in health care administration. While manual claim processing may lead to mistakes and needs extensive review, automatic claim scrubbers may catch most problems associated with formatting, coding, and data. Yet, the error rate will be different depending on such factors as company, payers, type of claims, and edits, and there is no single error rate applicable to manual and automated claims.

The common pain points in the claim submission process include the following:

• Incorrect coding due to the use of outdated CPT, ICD-10, and HCPCS codes
• Lack of proper patient and provider identifier numbers
• Inappropriate documentation that does not back up the level of service charged
• Payer-specific formatting standards that are found in accompanying manuals and take precedence over the general 837 standard
• When supporting documentation is required, providers may need to submit claims attachments or other information through payer-specific procedures. In March 2026, CMS finalized HIPAA-adopted standards for electronic health care claims attachments, including Version 6020 X12N 275 and X12N 277 transactions and associated HL7 implementation guides. The final rule became effective May 26, 2026, with compliance deadlines set 24 months from the effective date.nts for 2026 includes X12N 275 and 277 transactions and associated HL7 guides

Every one of these points is enough to cause claim rejection or denial and force the billing staff to pinpoint the issue and resubmit the claim. These are all instances of inefficiency that are now being resolved using AI in the claim submission process.

How AI Improves the Claim Submission Process in Medical Billing

AI does not alter the basic architecture of the claim submission process; rather, the claim goes through the same 837 transaction standard process, the same clearinghouse processes, and even the payer adjudication system remains the same. The change is only in the processes that happen prior to submitting the claim to catch the errors that could otherwise cause a claim rejection or denial. And this is what AI does.

1. Automated Code Validation Before Submission

AI-assisted coding and validation tools can identify potential coding discrepancies before claim submission by comparing clinical documentation, codes, and applicable coding or payer rules. The AI-based coding system examines the clinical documents and checks whether the codes used satisfy payer guidelines, updated coding sets, and documentation requirements.

2. Claim Scrubbing at Scale

Rules-based and AI-assisted claim scrubbers can evaluate claims against configured payer requirements, coding rules, and data-validation checks to identify potential submission errors. Rather than the biller analyzing every field manually, AI can evaluate thousands of claims within the amount of time it takes a person to examine just a few, thus spotting errors that would otherwise go unnoticed in the medical claims process.

3. Missing Documentation and Attachment Detection

AI technology can help to detect whether a claim needs to be supported with documentation such as an operative report or a medical necessity statement, depending on the procedure codes and insurance requirements. AI can flag claims that may require supporting documentation based on configured payer and claim requirements, helping staff determine whether an attachment or additional-information submission is needed.

4. Denial Prediction Based on Historical Patterns

AI and predictive analytics can use historical claims and denial data to identify patterns associated with previously rejected or denied claims, depending on how the system is designed and trained. The predictive layer is one of the most advanced applications of AI in transforming the process of claim submission in medical billing.

5. Faster, More Consistent Processing at Volume

The ability of AI to handle huge amounts of claims in a consistent manner without any variation due to fatigue is an advantage that allows for the processing of more claims in outpatient facilities and hospitals, as the system can now match the number of patients.

6. Continuous Learning From Payer Feedback

Acknowledgment and payment data can offer important insights into analytics and claim-validation processes. Based on the system design, these data can be helpful in identifying trends related to rejections, denials, and payments to make future improvements to validation processes and models. This makes the claim submission process in medical billing increasingly effective, as opposed to making the same mistake every time a claim is submitted.

Traditional vs. AI-Enhanced Claim Submission Process

The table below compares how the claim submission process typically operates with manual review versus how it functions when AI is integrated into the workflow.

The contrast here makes clear the reasons that so many healthcare finance and revenue cycle executives are making the priority to implement AI in 2026: the underlying processes of claims filing are unchanged, but the precision and efficiency of their execution have been greatly enhanced.

What AI Does Not Change About Claim Submission

However, it might be important to highlight the fact that there is a range of functions within the claim submission process that are not affected by the application of artificial intelligence. Thus, it does not change such aspects as the existence of the X12 837 standard or the presence of clearinghouses and payer adjudication regulations that play an important role in the process of claim submission. It should be noted that AI is not a substitute for compliance. This means that all coding and billing processes should be based on correct clinical documentation. However, the application of AI makes the process of claim submission easier because many manual steps are automated.

Practical Steps for Adopting AI in Your Claim Submission Process

When implementing AI in the claim submission process in medical billing, the following things may play a crucial role:

1. Implement claim scrubbing and validation. This will be the easiest-to-implement, highest-impact use case of AI for the claim submission process.
2. Assess integration requirements with the existing EHR, practice-management system, clearinghouse, and other revenue-cycle platforms before implementation.
3. Train models using your historical data on denials. High-quality, representative historical claims and denial data can help support predictive models, particularly when the data reflects current payer policies and the organization's actual billing patterns.
4. Inform coders and billers about what you are going to do and involve them in the process, as AI can be used only to highlight problematic areas within the claim submission process.
5. Measure the increase in first-pass acceptance rates. It will help you understand whether AI implementation has positively affected your organization.

How RapidClaims Supports a Smarter Claim Submission Process

RapidClaims offers AI-powered solutions that aim to help with medical coding, documentation validation, claims scrubbing, and denial analytics. Since problems could be detected before the claims are even submitted, the tools have the potential to eliminate unnecessary errors during the revenue cycle process.

Final Thoughts

The medical claim submission process has always required accuracy, consistency, and speed, and manual workflows can be labor-intensive and may make it harder to consistently identify errors across high claim volumes. While AI does not fundamentally alter the medical claim submission process flow in terms of how claims are sent from the healthcare organization to the clearinghouse to the payers, AI can improve efficiency and help identify potential errors earlier when it is appropriately configured, validated, and integrated with existing workflows.

In other words, AI is enabling healthcare organizations to convert a process that was traditionally an obstacle into a competitive advantage by helping them automate the medical claim submission process. As a result, healthcare finance and revenue cycle leaders seeking to improve their medical billing processes with AI should focus on improving the medical claim submission process.

FAQs

1. What is the claim submission process in medical billing?

The claim submission process in medical billing involves preparing and sending a healthcare claim to an insurance payer for reimbursement. It generally includes verifying patient and insurance information, documenting services, assigning appropriate diagnosis and procedure codes, preparing the claim, performing claim edits, submitting it electronically or through an approved method, and tracking the payer's response.

2. What are the steps in the medical claim submission process?

The medical claim submission process typically includes patient and insurance verification, documentation review, medical coding, claim creation, claim scrubbing or validation, electronic submission, payer acknowledgment, claim adjudication, and payment or denial processing. Electronic claims may go through multiple levels of edits before the payer determines whether to pay, reject, or deny the claim.

3. How are medical claims submitted to insurance companies?

Most healthcare claims are submitted electronically using standardized electronic transactions. Providers may submit claims directly to a payer or use a clearinghouse or billing service. For Medicare, electronic claims generally use the applicable HIPAA-standard transaction, such as the 837 Professional or 837 Institutional claim.

4. What information is required for the claim submission process?

A medical claim generally requires accurate patient and payer information, provider information, dates and types of services, diagnosis and procedure codes, applicable modifiers, charges, and other information required by the payer and claim type. Claims must also meet applicable payer and regulatory requirements. CMS notes that claims must be filed with the appropriate Medicare contractor using the prescribed format and according to applicable instructions.

5. What happens after a medical claim is submitted?

After submission, the claim may undergo initial validation and other payer edits. Claims with errors may be rejected for correction and resubmission, while claims that pass the required edits proceed to adjudication. The payer then determines the appropriate payment or denial and sends a response or remittance information to the provider.