Insurance eligibility checks: how automation reduces denials and delays

by Experian Health 6 min read November 4, 2024

Insurance eligibility checks how automation reduces denials

Patients expect clear information about their insurance coverage when they visit their healthcare provider, but too many leave feeling confused and financially underprepared. Experian Health’s State of Patient Access 2024 survey reveals that 56% of patients struggle to make sense of their insurance coverage without provider assistance, while 61% say improving coverage explanations is the most urgent challenge in patient access. For providers, the financial fallout from missed insurance eligibility checks is even more pressing, with 15% of providers citing eligibility issues as one of their top three reasons for denials. Accurate eligibility checks are crucial to keep the revenue cycle on track. This article highlights common challenges and current best practices for improving eligibility verification. Could automated insurance eligibility checks give patients and providers the financial clarity they’re looking for?

What are insurance eligibility checks?

Insurance eligibility checks are carried out pre-service to confirm that a patient has active insurance that will cover their planned treatment and care. Verifying insurance status, coverage details and benefits in advance ensures that the proper claims and bills are sent to the right recipient. Patients and providers get early warnings of coverage limitations and potential out-of-pocket costs, which helps patients access care without any financial surprises.

Without these checks, healthcare organizations may deliver services to patients without active coverage — and with no clear path to payment. Therefore, a reliable eligibility verification process is essential to minimize the claim denials, rework and billing errors that often stem from inaccurate insurance information.

How do insurance eligibility checks impact revenue cycle management?

In the healthcare revenue cycle—which revolves around who pays, when and how—insurance eligibility checks are a first line of defense against revenue leakage. They’re a proactive step toward establishing smooth claims and collections processes so no dollar goes uncollected or is lost to avoidable admin overhead.

Prioritizing robust eligibility verification systems, as patient survey respondents advocate, is not just an operational necessity; it’s a strategic safeguard against slow payments, patient dissatisfaction and financial instability.

The insurance eligibility check process

The eligibility verification process typically begins by confirming the patient’s contact information to match their insurance card and electronic health record details. Staff then initiate an eligibility request to confirm active coverage. Once confirmed, they check that the plan covers proposed services, including any pre-authorization requirements, and review coverage limits to ensure the patient hasn’t exceeded annual or lifetime caps. If applicable, providers also cross-check for Medicare eligibility using the Medicare Beneficiary Identifier (MBI) to identify any additional coverage.

Common challenges with insurance eligibility checks

Findings from Experian Health’s State of Patient Access and State of Claims surveys illustrate the extent of the eligibility challenge, pointing to three main areas for improvement:

Outdated or incomplete insurance information

Sometimes, the insurance details in the provider’s system don’t match the payer’s record. Patients may change jobs, switch insurance plans, or have secondary coverage they didn’t know about or forgot to mention. If these changes aren’t caught up front, it can lead to claim rejections and billing delays. Besides the obvious problem of lost revenue, this challenge incurs extra work: 43% of providers report that incomplete checks add at least 10 minutes per eligibility check.

Changing payer policies and pre-authorization requirements

Keeping up with each insurance provider’s prior authorization requirements is challenging, especially if the patient’s treatment is urgent. Missing a necessary authorization can lead to a denial, delayed payment and extra work. More than three-quarters of providers say payer policy changes are increasing, but only 10% are using automated tracking as part of their denial management strategy. Is there an opportunity to automate prior authorizations and eligibility verification to tackle denials?

Inadequate tools to verify eligibility

More than 7 in 10 providers say their organization runs eligibility checks quickly and accurately, but significantly fewer think their revenue cycle management technology is as good as it could be. 59% of providers are using at least two different solutions to collect all the necessary patient info for a claim submission. Tool overload is a real problem, as staff must wrestle with different platforms, processes and logins to get the eligibility information they need.

Best practices for effective insurance eligibility checks

To tackle these challenges, providers can use automation to streamline their verification workflows. Some key practices for more reliable and efficient insurance eligibility checks include:

  • Automate real-time eligibility checks for faster, more precise verification:For example, Eligibility Verification automatically verifies insurance coverage and plan-specific benefits information before and at the time of service. This not only speeds up registration, but also catches any potential coverage gaps before services are provided. Automation also helps minimize manual work and reduces the risk of human errors that can lead to claim denials.
  • Track payer policy changes automatically: Insurance verification software helps providers keep up with ever-changing payer requirements. Eligibility Verification connects to more than 900 payers with advanced search, to maximize the likelihood of matching patient information. This can be used alongside Experian Health’s automated pre-authorization tool, which dynamicallyupdates national payer prior authorization requirements and flags when something is missing.
  • Give patients upfront, automated price estimates: More than 80% of patients say upfront pricing estimates help them prepare for costs. Automating eligibility checks and patient payment estimates help patients understand their coverage, co-pays and deductibles, so they know what to expect when their bill arrives. This improves transparency, boosts patient satisfaction and accelerates collections.

Implementing these best practices helps ensure smooth claim submissions and reduces denials due to eligibility issues, ultimately supporting a healthier revenue cycle.

Case study: How Providence Health found $30M in coverage and reduced denial rates with automated eligibility checks

Within just five months of implementing Eligibility Verification, Providence Health had saved $18 million in potential denials. Read the case study to see how automated insurance eligibility checks reduced denials, increased staff productivity and boosted patient satisfaction.

How Experian Health can help healthcare organizations improve eligibility checks

While healthcare affordability remains a pressing concern for patients and providers, quickly and accurately verifying insurance eligibility will remain among the top priorities for both groups. Experian Health aims to simplify the process with automated Eligibility Verification. In addition to reducing payment delays and denials, its streamlined workflows support higher patient volumes, especially as patients have more complex insurance arrangements and take on greater financial responsibility.

One significant advantage is the ability to provide extra support for the growing number of patients who may be eligible for Medicare. Medicare eligibility checks can be complicated, particularly if patients don’t know which component they qualify for. Eligibility Verification includes an optional MBI lookup service to find and validate the patient’s MBI number without requiring a manual search.

Find out more about how automating insurance eligibility checks verifies coverage quickly and accurately — giving patients and providers early clarity about how the cost of care will be covered.

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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. As costs rise and revenue cycles tighten, there is increasing pressure to do more with less. Experian Health’s 2025 State of Claims survey found that 54% of providers say claim errors are increasing and 90% of claim denials are reworked with at least some human review before resubmission. Providers are also managing broader financial and administrative pressures. The American Hospital Association has reported that prior authorization requirements, claim audits, denials and other payer policies add administrative burden and cost for hospitals and health systems. These requirements also consume staff time to appeal denials and manage payer processes. AI and automation are different but complementary. Automation follows defined rules to complete repeatable work. AI models can identify patterns in data, predict risk and help teams decide where to focus attention. When used together, they can support more consistent revenue cycle workflows. 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. Insurance discovery looks for coverage that may not have been captured during registration. Patient Access Curator includes insurance discovery as part of its front-end validation workflow. It can help identify and correct missing or incorrect insurance information so claims can be submitted with more complete coverage data. 3. Using AI to prevent and prioritize denials Even with strong front-end processes, some claims still require additional attention. AI can help claims teams decide which claims to review before submission and which denials to work first after payer response. Experian Health’s AI Advantage supports two denial management use cases:1. AI Advantage – Predictive Denials uses a client’s historical claims data and Experian’s knowledge of payer rules to identify claims with a high likelihood of denial before submission so teams can take corrective action.2. AI Advantage – Denial Triage uses AI to segment denials and identify those with the highest potential for reimbursement. This approach can help teams prioritize with more confidence. Rather than treating every claim or denial the same way, teams can use predictive models to focus on the work that needs the most attention. Potential benefits of AI and automation in the revenue cycle A high-performing revenue cycle depends on timely, accurate and consistent work. AI and automation can help providers modernize that work without losing the expertise of the people who manage complex payer and patient situations every day. When applied to the right workflows, these tools can help organizations: Reduce manual data searches that take staff away from higher-value work Improve front-end data quality before claims are created Identify missing or incorrect coverage information earlier Spot claims that may be at higher risk of denial Prioritize denied claims by potential reimbursement Reduce rework caused by inaccurate or incomplete information Give staff more consistent information for follow-up decisions A focused AI strategy starts with the workflow problem, uses data that is relevant to that problem and keeps staff in control of judgment-based decisions. A more proactive approach to revenue cycle management Revenue cycle teams can move from reactive work toward a more proactive approach: catch errors earlier, validate coverage before claims are created and prioritize the claims and denials that need the most attention. 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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