Key takeaways:
- Claims denial rates continue to climb, with 41% of providers reporting their claims are denied over 10% of the time, according to Experian Health’s 2025 State of Claims Report.
- Claims errors, especially on the front end, are a top trigger for denials.
- Solutions that leverage AI and automation across the revenue cycle, from front-end patient intake to claims management, can help providers submit cleaner claims, prevent future denials, and minimize denials.
Errors in claims processing can have serious repercussions on the healthcare revenue cycle. Even the smallest mistake can trigger a denial, leading to costly rework, patient frustration and cash flow interruptions. Solutions that leverage intelligent technology, like artificial intelligence (AI), automation and machine learning, can help providers better understand the reasons behind claims errors and better prevent future mistakes.
Here are seven of the most common reasons for claim errors and how to use technology to avoid them:
1. Claim errors can be caused by missing and inaccurate data
According to Experian Health’s latest Denial Management survey, incomplete documentation, coding, and eligibility mistakes rank among the top five most preventable reasons for claims denials. With errors often beginning at registration, 50% of providers name improving front-end accuracy is top priority.
Robust solutions like Patient Access Curator
(PAC) leverage artificial intelligence (AI) and machine learning to automatically find and correct patient data within seconds—across eligibility, Coordination of Benefits (COB) primacy, Medicare Beneficiary Identifiers (MBI), demographics and insurance discovery. Machine learning and predictive analytics also help providers find and correct bad data in real time.
2. Manual processes and disparate systems
Where claims processes continue to rely on manual workflows, the risk of human error and delays increases. Billing teams often juggle disparate systems from multiple vendors, making it difficult to maintain seamless communication between front-end and back-end operations and slowing claims processing.
Automated claims management solutions, like Experian Health’s ClaimSource®, play a critical role in modernizing the revenue cycle by reducing reliance on manual, error-prone workflows. Instead of staff spending hours reviewing claims line by line, these platforms automate key steps in the claims lifecycle — from editing and validation to submission and tracking—helping ensure that claims are clean before they ever reach the payer.
3. Changes in payer requirements can cause claims errors
Providers report that a major pain point is the constant evolution of payer rules, which can change without prior notice. Even when providers are confident that their claims are accurate, shifting adjudication rules can still lead to unexpected denials or delays. This challenge is compounded by the sheer scale of change – high volumes of updates, inconsistent or fragmented communication channels, and a growing number of payers and policies – all of which contribute to the complexity. Keeping pace with these changes can be especially difficult without the support of a dedicated partner.
Experian Health’s ClaimSource solution can help providers by applying a continuously updated library of payer edits, along with customizable provider- and payer-specific rules, ensuring claims align with the latest requirements before submission. This reduces the likelihood of denials caused by missing information, coding errors or noncompliance. At the same time, customizable work queues allow revenue cycle teams to dynamically adapt to changing payer rules and prioritize workflows more efficiently.
4. Prior authorizations
Issues with prior authorizations are to blame for 35% of claims denials, according to Experian Health data. To navigate prior authorizations, providers must track changing requirements, obtain authorizations prior to treatment or claims submission, and complete claims that meet complex requirements. When prior authorization requirements aren’t met, appealing a denial can be complicated at best, and many times proves to be irreversible.
Many providers still use manual prior authorization processes, despite a tendency for errors that lead to denials. Although the Council for Affordable Quality Healthcare (CAQH) predicts that switching to automated prior authorization software can translate to significant cost savings and less administrative burden, only 31% have adopted automated prior authorization software.
5. Ongoing staffing shortages
Just over 40% of providers see staff training and accountability as top opportunities to reduce denials. But with staffing shortages expected to continue through at least 2030, healthcare organizations are feeling pressure to do more with fewer staff. When staff can’t keep up with claims management, especially time-consuming reworks, it can lead to burnout and denials.
Recent Experian Health data suggests that automation delivers the greatest impact at the front end of the revenue cycle, particularly during patient registration, where accurate data capture sets the foundation for clean claims. However, opportunities extend well beyond intake. Providers are also seeing value in automating coding validation and clinical documentation, implementing prior authorization software for real-time updates, and leveraging AI-driven claim denial prediction and prevention tools. By reducing manual touchpoints across these processes, automation saves valuable staff time, allowing teams to focus on higher-priority tasks rather than repetitive administrative work.
With denials and staffing shortages on the rise, an efficient claims management strategy is essential.
Hear from Eric Eckhart of Community Regional Medical (Fresno) and Skylar Earley of Schneck Medical Center as they discuss how they integrated AI tools before claims submission and upon receiving denials.
6. Slow response and follow-through can lead to claim errors
Delays in the claims process don’t necessarily cause errors, but they can make resolution difficult and time-consuming. Claims must be submitted within specific time frames after service. This means providers need efficient workflows to get the claim created, processed through a claims vendor, and submitted to the correct payer, or risk missing critical filing deadlines.
The same is true for identifying and reworking denials. Denial backlogs can quickly become overwhelming, increasing the odds of items slipping through the cracks or missing re-submission and appeals deadlines.
Automating status updates with solutions like Experian Health’s Enhanced Claim Status monitoring can relieve time-strapped staff from the need to manually contact payers for the latest claims status updates. Status requests are submitted automatically based on each payer’s adjudication timeline from the date of claim submission, and the payer’s proprietary responses are returned weeks before either the Electronic Remittance Advice or Explanation of Benefits is processed. This gives staff a huge head start on working denials.
7. Difficulty managing denials
When errors cause claims to be denied, a timely response is critical, and that doesn’t always happen when staff are stretched thin. Adopting a denial workflow management solution equipped with automation and data analysis capabilities can help providers optimize this important part of the revenue cycle.
Experian Health’s Denial Workflow Manager, for example, generates work lists based on the root cause of denial and improves upstream processes to prevent future denials. AI Advantage is another solution that relies on artificial intelligence and predictive analytics to flag high-risk claims before submission. And since it prioritizes denials based on the likelihood of reimbursement, staff lose less time on rework.
FAQs
What common errors can prevent clean claims?
The most common errors that can prevent clean claims include incorrect or incomplete patient registration data, coding errors, and authorizations.
How do claim errors affect reimbursement?
Claim errors can lead to delays, slowing down the time to reimbursement. Mistakes can also affect reimbursement amounts and lead to denials, even after resubmission.
What’s the difference between a claims error and a denial?
A claim error is a mistake made on a claim. Errors may include incorrect information, like typos, missing prior authorizations, or issues with eligibility and payer rules. A denial occurs when a payer rejects a provider’s submitted claim for reimbursement. Denied claims must typically be reworked for resubmission to correct any errors.
How claims errors contribute to claim denials
Claims management is becoming more complex and demanding. Rapidly evolving payer rules, staffing shortages, and error-prone manual processes make managing claims cumbersome and costly. These challenges often lead to common errors that result in denials, like incorrect patient demographics, eligibility verification failures, coding inaccuracies, and missing prior authorizations. Additional issues, such as coordination-of-benefits errors, timely filing violations, and data entry and system integration issues, are also common.
Preventing and catching the errors that can lead to denials before submission is key. Technology that leverages AI and automation is already helping providers reduce denial rates and improve overall efficiency. Experian Health’s State of Claims survey shows that 69% of providers leveraging AI have experienced a reduction in denials. And as of early 2026, providers also ranked improving front-end accuracy as the top area for automation investment. Together, these trends point to a clear shift toward proactive, technology-driven claims management strategies that help providers get claims right the first time.
Find out more about how Experian Health’s claims management solutions can help revenue cycle leaders submit cleaner claims, manage denials, and reduce denial rates.
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