How to prevent healthcare claim denials

by Experian Health 10 min read June 5, 2024

how-to-prevent-healthcare-claim-denials

As revenue cycle leaders continue to navigate an increasingly complex financial landscape, preventing healthcare claim denials remains the number one priority. Experian Health’s State of Claims 2022 report found that 30% of respondents see claims denied 10-15% of the time, while 42% were seeing the rate of denials increase year over year. Denials in healthcare, which can be easily avoided, contribute significantly to the waste of healthcare funds. These denials cause providers to lose hundreds of billions of dollars in profits annually. This blog looks at the key questions providers should ask to get to the bottom of why healthcare claims get denied, how to prevent healthcare claim denials and ways technology can support better denial management.

Why do healthcare claims get denied?

The State of Claims 2022 survey revealed that the most common causes of denied claims boil down to three issues:

1. Missing or incomplete prior authorizations

Health insurers use prior authorizations to determine whether a patient’s treatment is medically necessary and how much they can cover. Despite being introduced to encourage delivering high-quality, cost-effective care, the authorization process has become an intimidating administrative burden for healthcare providers. Even now, many healthcare providers rely on manual paperwork to execute an already complex and tedious authorization process.

This outdated approach to authorization not only consumes time and money but also creates opportunities for missing or incomplete prior authorizations, increasing claims denial rates. Unsurprisingly, 48% identified missing or incomplete prior authorizations as one of the top three reasons for denials.

2. Failure to verify provider eligibility

To be eligible for reimbursement, a provider must be a participant in the proposed Medicare or Medicaid program or other private health insurance plan. Eligibility verification involves confirming a patient’s insurance information and that the planned services and provider are under their plan, which is critical for successful claims approval. Failure to verify provider eligibility may lead to claims denial if an out-of-network provider provides the services. Likewise, 42% of respondents said failure to verify provider eligibility was a common reason for denials.

3. Inaccurate medical coding

Accuracy is the backbone of medical coding, another administrative task indispensable to claims approval. The slightest mistake when translating patients’ diagnostic and treatment information into clinical codes can result in rejected claims.

Unfortunately, providers are susceptible to coding errors due to the ever-changing coding rules, especially when they do it manually or work with unreliable automation solutions. They may work with outdated or incorrect codes, leading to claims denials. The State of Claims 2022 survey revealed similar shortcomings, with 42% of respondents stating that inaccurate medical coding led to denial.

Other reasons for denied claims include:

  • Incorrect modifiers
  • Failure to meet submission deadlines
  • Patient information inaccuracy
  • Missing or inaccurate claim data
  • Not enough staff to keep up
  • Formulary changes
  • Changing policies
  • Procedure changes
  • Improperly bundled services
  • Service not covered

6 in 10 respondents said insufficient data and analytics made identifying and resolving issues with claims submissions difficult. A similar number said a lack of automation was hindering operational improvements. The good news is that these obstacles can all be effectively addressed with the right denial management strategy and digital tools.

How do claim denials affect revenue cycles?

Denials can be justified as necessary to prioritize spending on high-value care, but they have heavy consequences for hospitals’ financial health. As highlighted in the Journal of Managed Care & Specialty Pharmacy, the weight of denied claims adds up to about $260 billion each year. This financial burden is pushed on hospitals, who may need to classify denied claims as debt, which, among other consequences of claims denial, ultimately disrupts their revenue cycles.

The ripple effect of denied and underpaid claims on hospital revenue cycles also manifests in how delayed and non-payments restrict cash flow, hampering the provider’s ability to operate efficiently and deliver care effectively. Significant staff time is lost to avoidable administrative activities and rework, as claims need to be corrected and resubmitted. This creates a bottleneck in the revenue cycle, which can lead to decreased revenue and additional costs. Extra work is particularly challenging for staff already under pressure due to ongoing labor shortages.

For patients, denials can cause stress and confusion around how the cost of care will be met.

How can providers reduce or prevent healthcare claim denials?

Since most denials result from inaccuracies that originate early in the patient journey, the solution calls for better data management in patient access and robust checks just before claims are submitted. Reducing claims errors will contribute to better claim submission and higher reimbursement rates.

Here’s a step-by-step guide to improving healthcare claims processing:

  1. Utilize prior authorization software to automate the prior authorization process. This software-driven solution automates inquiries and submissions using updated and stored payer data, making the prior authorization process seamless and time-efficient and resulting in higher claim approval rates.
  2. Upgrade claims technology with tools such as ClaimSource®, which helps providers manage the entire claims cycle from one platform. By automating claims processing, ClaimSource helps ensure claims are clean before being submitted. The tool creates custom work queues so staff can prioritize high-value tasks and get paid faster.
  3. Improve the claims management process and prevent healthcare claim denials with AI Advantage™ — Predictive Denials and AI Advantage™ — Denial Triage. Predictive Denials flags claims that are more likely to be denied before they are submitted to the payer and tracks payer rule changes, reducing denial rates. Denial Triage prioritizes and segments denials most likely to be reimbursed, leading to increased revenue.
  4. Automate line-by-line claim reviews with Claim Scrubber to eliminate errors or omissions in claims before they are submitted. Claim Scrubber makes claims management operations more efficient, resulting in less rework, administrative costs, and delays. It can also be paired with Contract Manager, so providers can audit claims before and after remittance.
  5. Use an early-and-often approach to monitoring claim status and expedite reimbursement. Enhanced Claim Status eliminates manual follow-up and helps providers react quickly to any pending, returned-to-provider, denied, or zero-pay transactions, further improving cash flow.

Experian Health’s ClaimSource and Contract Manager solutions were both ranked number one in their respective categories in the 2024 Best in KLAS awards

What is the best way to track and manage claim denials? 

Most providers rely on manual and automated processes to manage claims and denials. Shifting from manual to digital can save time, reduce errors, and increase overall efficiency. However, providers may be wary of implementing new systems due to concerns about costs, data interoperability, and the staff learning curve. For this reason, it’s essential to select a denials management solution that fits the provider’s unique specifications.

Denials Workflow Manager eliminates manual processes and allows providers to optimize the claims process according to the metrics that matter to them. It generates work lists based on the client’s specifications, such as denial category and dollar amount, and incorporates extensive data analysis capabilities to identify the root causes of denials and improve upstream processes to prevent them. It can be easily implemented as a standalone product or integrated with ClaimSource to give users access to the entire claims and denial management cycle on a single screen.

Staff training on claims management

The State of Claims 2022 report revealed that 46% of respondents admitted that lack of staff training was an operational challenge contributing to claims denial. Training healthcare staff in managing and preventing claim denials is one of the most worthy investments to reduce the rate of claim denials.

Hospitals can provide healthcare staff with adequate ongoing training on the granular details of claims processes before and after submission and access to automated claims management solutions. Healthcare staff should also be kept up-to-date on the latest tools and strategies on denial prevention and payer rules for claims submissions to ensure payment receipt after claim submission.

Engaging patients in the claims process

Though patients are usually not responsible for submitting claims to payers, they are an equal third party in the claims process and can be empowered to actively participate in every stage, from submission to approval and paying copays or deductibles.

Effective patient engagement can be achieved by providing patients with an accessible, all-inclusive platform to register, review, and update information related to their care and benefit plan and communicate with healthcare staff as needed.

Collaborating with payers to reduce denials

The quality of collaboration between payers and providers affects the seamlessness and efficiency of the claims process. Therefore, it is crucial for providers to collaborate effectively with payers, especially given the constant changes in payer policies, to ensure that they stay up-to-date with and comply with the payer claims submission requirements. In cases of claim denials, they can also manage them effectively.

By working together, payers and providers can also quickly resolve denial issues, ultimately improving system efficiency.

Adopting automation and AI to prevent healthcare claim denials

As one of the most complex institutions today, the healthcare industry has always grappled with a critical shortage of healthcare workers, staff burnout, and wasteful medical care spending, which costs $600 billion annually in the US. Despite the potential benefits of automation and artificial intelligence (AI) to ease these burdens and save about $200 billion to $360 billion annually in healthcare spending, their adoption has been lagging and met with resistance.

However, more and more healthcare stakeholders are realizing that these technologies are a principal partner in making the healthcare system more efficient, simplifying and streamlining deeply complex processes, such as claims processing.

For example, Experian Health’s Patient Access Curator, an AI—and robotic process automation (RPA)-driven solution that enables eligibility and coverage verification and more accurate and submission-ready claims. By performing these tasks in seconds, all in one click, Patient Access Curator has helped clients save over $1 billion in denied claims since 2020, significantly boosting their bottom lines.

Another example of efficient claims technology is ClaimSource. This all-in-one claim cycle management platform, powered by automation, transmitted $632 million in claims within five days and processed $1.1 billion of claims backlog for IU Health.

AI Advantage™, Experian Health’s revolutionary claims management solution that offers a two-pronged approach to preventing and managing denials:

  • AI Advantage – Predictive Denials identifies claims that are at risk of being denied, so corrections can be made before claims are sent to payers.
  • AI Advantage – Denial Triage comes into play post-submission, reviewing patterns in denials to prioritize those with the greatest likelihood of reimbursement.

Given the volume, complexity and financial impact of the current claims workload, automation and AI are critical elements in the denials management toolkit. In the State of Claims survey, more than half of respondents said they were using automated claims processing, with many using automation to keep track of payer policy changes, automate patient portal claims reviews and digitize patient registration.

Despite much media furor, AI is still the domain of early adopters: only 11% of respondents said they were using AI. But while automation can effectively eliminate unnecessary manual tasks, AI is a force multiplier for denials management, offering additional predictive capabilities and “learning” from historical data to prevent denials.

Client feedback to date suggests that incorporating AI-powered denial management solutions could be a game-changer for providers looking to streamline operations, prevent lost revenue and free up capacity to focus on their primary mission of delivering quality patient care.

Technology solutions for managing and preventing claim denials

Efficiently managing the claims process and preventing or resolving claims denial requires robust and reliable technology solutions at every stage, especially in the complex and constantly changing world of claims management, where everything hinges on accuracy. These technology solutions can be responsible for heavy lifting many administrative tasks involved in the claims processes, from accurate data capturing during patient registration and prior authorization to submission to monitoring claim status and addressing claims submission outcomes.

Hospitals can adopt claims technology, such as Experian Health’s Patient Access Curator, for verifying insurance eligibility and coverage with real-time patient data correction or ClaimSource®, a single platform for monitoring and managing the claims cycle in one place.

Find out more about how Experian Health helps healthcare providers prevent healthcare claim denials with automation and AI.

Related Posts

Andy’s New WP Workflow Test Article Using Quick Edit

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.

October 2, 2026 by Andy.Monte@experian.com
Experian Health ranked #1 in Best in KLAS for 2025

Experian Health is very pleased to announce that we've ranked #1 in the 2025 Best in KLAS: Software & Services report, for our Contract Manager and Contract Analysis product, for the third consecutive year. Contract Manager, when paired with Contract Analysis, empowers healthcare providers by ensuring payers comply with contract terms, identifying and recovering underpayments, and arming them with real claims data to negotiate contracts. This enables providers to negotiate more favorable terms and maintain financial stability.  Clarissa Riggins, Chief Product Officer at Experian Health, says, “In the ever-evolving healthcare landscape, our Contract Manager solution has once again been recognized as the #1 Revenue Cycle Management tool by KLAS for the third consecutive year. This prestigious ranking underscores the significant value our solution delivers to our clients by identifying underpayments and facilitating revenue recovery. We are honored to continue supporting our clients with innovative solutions that drive financial success and operational efficiency.”  Learn more about how Contract Manager and Contract Analysis can help your healthcare organization validate reimbursement accuracy, recover underpayments and boost revenue.   Learn more Contact us

February 5, 2025 by kelly.nguyen
How to increase patient engagement

Learn how providers can increase patient engagement, why it matters and key strategies that deliver improved end-to-end patient experiences.

January 30, 2025 by Experian Health

Spotlight test

Spotlight Description

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Sticky Subscribe Title

Sticky Subscribe Description
Sticky Subscribe

Testing Spotlight Paragraph block

Testing the spotlight block header

Archive Testing

Categories