State of Claims 2024: Insights from survey findings

by Experian Health 5 min read September 18, 2024

Despite increased access to claims management technology, claims denials are still on the rise in 2024. Contributing factors include growing healthcare costs, stricter payer reimbursement policies, and claims processing errors. Providers are seeing an uptick in nonpayment, plus an added burden on administrative staff, disrupted patient care, and hits to the bottom line.

Experian Health surveyed over 200 healthcare professionals, primarily in executive or management roles, to better understand the current state of claims. The findings of the State of Claims 2024 report break down the latest health insurance claim denial statistics, reasons for denials, and providers’ concerns about reimbursement.

Rising healthcare costs: who will foot the bill?

The U.S. healthcare system is the most expensive in the world, and costs continue to rise. In 2022, healthcare spending reached $4.5 trillion, a threefold increase from $1.4 trillion in 2000. In 2023, costs rose 7.5% to $4.8 trillion. Paying for healthcare is becoming more and more out of reach for patients and causing great concern. Over three-quarters (77%) of providers worry patients will skip out on their medical bills.

Payer reimbursement challenges are also weighing heavily on healthcare leaders’ minds. More than 75% are worried about nonpayment due to ever-evolving payer policy changes. They also have concerns about the pre-authorization struggles that have continued since 2022, as reported in the State of Claims 2022 survey. Hospitals are particularly feeling the financial pinch of operating within such an expensive environment and face uncertainties about meeting financial obligations on top of other major post-pandemic challenges like staff shortages.

The impact of claims denials

Providers continue to see claims being denied in greater numbers. In 2022, 42% of respondents said denials are increasing. The number jumped to 77% in 2024. Similarly, the time it takes to be reimbursed is increasing, per 67% of respondents. That number was 51% in 2022.

In 2024, 84% of healthcare organizations will make reducing denied claims a top priority. The Journal of Managed Care & Specialty Pharmacy reports that the burden of denied claims totals around $260 billion annually. The impact of claim denials is far-reaching, affecting the patient experience and revenue cycles. Struggles with claims also burden staff and drain resources, contributing to even more losses.

The growing challenge of data collection, verification and authorization

Successful claims processing depends on accuracy. However, achieving accuracy in data collection, verification, and authorization processes remains a continued challenge for claims management teams. Nearly half of respondents (46%) in the State of Claims 2024 report identified missing or inaccurate information as the primary cause for denial. Inaccurate or missing data also creates extra steps in claims processing, resulting in the need for secondary checks and “wasted” healthcare dollars. Survey respondents reported using multiple solutions to collect all the necessary patient data for claims, with some using as many as four different products.

Leveling the playing field in claims management with technology

Staying on top of reimbursement requirements and processes is complex, resource-demanding and time-consuming. Inaccuracies commonplace with manual processing exacerbate issues and further extend processing and reimbursement times. However, automation and AI technology have proven effective at reducing claims denials and the burden of manual processing.

“Adding AI in claims processing cuts down denials significantly,” Tom Bonner, Principal Product Manager at Experian Health, explains. AI automation quickly flags errors, allowing claims editing before payer submission. It’s not science fiction—AI is the tool hospitals need for better healthcare claims denial prevention and management.”

During the pandemic, providers embraced new technology to meet immediate needs; however, that momentum slowed in recent years. In 2022, survey data revealed that 62% of providers were using some form of automation and AI technology. Yet, in 2024, only 31% said they used this type of technology.

Here’s how claims automation can help healthcare organizations improve claims success rates:

  • Manage the entire claims process: Using an automated, scalable claims management system, like ClaimSource®, helps reduce denials and increase revenue. Providers can manage their entire claims cycle in a single application and ensure claims are clean before submission.
  • Submit more accurate claims: An automated claims submission tool, like ClaimScrubber, helps identify errors that typically result in denials or underpayments before submission. This results in quicker payments, less time chasing aged accounts receivables, and improved cash flow.
  • Eliminate manual processes: Providers that use Denials Workflow Manager can target claims that need attention immediately, managing denials more effectively and increasing reimbursements significantly.
  • Improve cash flow: Enhanced Claim Status helps providers take an early-and-often approach to monitoring claim status in the adjudication process. It eliminates manual follow-up tasks, allowing providers to respond early and accurately to pended, returned-to-provider, denied or zero-pay transactions.
  • Prevent denials: Experian Health’s AI Advantage™, an AI-driven platform, uses an organization’s own historical claims data, plus Experian Health’s sophisticated knowledge of payer rules, to continuously learn and adapt to an ever-changing payer policy landscape. This technology helps providers better predict and prevent claims denials, focus on high-priority claims, and boost overall revenue.

Adaptation of technology is likely on the rise with 45% of healthcare leaders planning to invest in automation in the next six months. Over the next year, these investments could pay off if claims denials start to decrease as a result, prompting more healthcare organizations to boost investments in claims management technology.

Download the State of Claims 2024 report to get the latest health insurance claim denial statistics, or contact us to learn how Experian Health can help with better claims management.

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Key takeaways: Revenue cycle teams can use automation to reduce repetitive work and apply AI where data-driven prediction, matching or prioritization can improve a workflow. Experian Health’s 2025 State of Claims survey found that 41% of providers now face denial rates of 10% or higher, while 68% say submitting clean claims is more challenging than a year ago. Patient Access Curator™ (PAC) uses AI to support front-end data validation and insurance discovery, while AI Advantage™ helps teams predict denial risk and prioritize denial follow-up. Artificial intelligence (AI) and automation can support administrative work in healthcare. In the revenue cycle, teams depend on accurate information, timely decisions and efficient follow-up to keep claims moving. In revenue cycle management, AI and automation can help organizations reduce manual checks, find data gaps, predict denial risk and prioritize work queues. These tools are most useful when they support staff judgment, payer expertise and compliance oversight. They can handle repetitive, data-heavy tasks so staff can focus on exceptions and decisions that need human review. In 2023, McKinsey & Company reported that research suggests effectively deploying automation and analytics could eliminate $200 billion to $360 billion of spending in U.S. healthcare. For revenue cycle leaders, the practical question is where to apply those capabilities first. The case for applying AI and automation in healthcare Revenue cycle teams juggle many daily tasks. Staff collect and verify patient information, confirm eligibility, identify the right payer, submit clean claims, monitor status, work denials and manage collections. Small data gaps at the beginning of the process can create downstream rework and delays. Rework also consumes staff time, adding to these operational pressures. 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How AI and automation can support revenue cycle workflows Revenue cycle management automation and AI are most useful when tied to a specific workflow and a measurable operational problem. The goal is to help teams act earlier, reduce avoidable rework and focus staff time where judgment is needed most. For example, automation can complete rule-based eligibility checks. AI can help identify claims with a higher likelihood of denial. In insurance discovery workflows, AI can also help identify coverage that wasn’t captured at registration. When these tools fit into existing workflows, they can support more consistent decisions and reduce manual work. Three practical applications include: 1. Improving front-end data quality with Patient Access Curator Patient and coverage information collected early in the revenue cycle can affect downstream claim outcomes. Incomplete or outdated demographic details, eligibility responses, coordination of benefits or Medicare Beneficiary Identifier information can create problems that lead to claim delays or denials later in the cycle. Experian Health’s Patient Access Curator helps prevent claim denials by validating demographics, eligibility, insurance discovery, coordination of benefits and Medicare Beneficiary Identifier data in seconds. PAC’s AI and machine learning capabilities help improve match accuracy, coverage sequencing and data confidence by writing the validated data back into the host system and sequencing payers before the claim is created. This automates work that would otherwise require manual coverage checks. 2. Using insurance discovery to find coverage not captured at registration When active coverage isn’t identified during registration, claims may be delayed or submitted with incomplete insurance information. 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Experian Health offers revenue cycle solutions that use AI and automation in targeted ways to support front-end data quality, reduce rework and manage denials. Patient Access Curator supports registration and coverage validation, while AI Advantage supports denial prediction and triage. Learn more about Experian Health’s Patient Access Curator and AI Advantage.

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