4 ways to improve healthcare claims processing

by Experian Health 5 min read May 5, 2023

Upgrading claims technology was the top strategy for reducing denials in 2022, according to Experian Health’s State of Claims 2022 report. The report lists the most common strategies for minimizing the risk and impact of denials, based on a survey of 200 health professionals. With more than half of providers already embracing automation, there’s broad recognition that data-driven software and streamlined workflows are key to getting more claims approved the first time and minimizing avoidable revenue loss. And as new AI-based technologies gain traction as a route to faster and richer data analytics, there are growing opportunities for providers to leverage automated claims management solutions and improve healthcare claims processing.

In June 2022, Experian Health surveyed 200 revenue cycle decision-makers to understand the current state of claims management. Watch the video to see the results:

Here are 4 ways to improve healthcare claims processing, based on current practice and perceptions of claims management, and the solutions that can help providers reduce denials in 2023.

1. Upgrade claims technology

More than half of survey respondents (52%) updated or replaced existing claims process technology in 2022. Healthcare executives were optimistic about using more advanced automation to improve claims processing workflows, with more than 91% saying they would “probably” or “definitely” invest in automation over the next six months.

The benefits of automating healthcare claims management are well-documented. Less friction and fewer errors lead to faster and more accurate submissions, so claims are more likely to be reimbursed. Tasks can be assigned to the right specialist to make more efficient use of staff time and alleviate pressure on busy teams. Artificial intelligence (AI) takes this up a notch with additional predictive capabilities and the ability to “learn” from historical claims data.

Action: Prioritize automation of data-heavy, repetitive claims management processes and leverage AI to prevent denials

Recommended tool: ClaimSource® helps providers manage the entire claims cycle by creating custom work queues so staff can prioritize the most valuable tasks and speed up reimbursement. Experian Health’s new AI Advantage™ solution integrates with ClaimSource to predict and prevent denials. Pre-submission, 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. Together, these tools give staff the insights to reduce workload and minimize denials.

Experian Health is pleased to announce that we’ve ranked #1 in Claims Management and Clearinghouse, for our ClaimSource® claims management system, according to the 2023 Best in KLAS: Software and Professional Services report.

2. Automate patient portal claims reviews

For 44% of respondents, automating patient portal claims reviews were seen as an effective way to get claims right the first time. Patients can check for errors and inconsistencies in their own accounts, to prevent avoidable mistakes from ending up on claims submissions. Patients can also use portals to track the progress of claims, so they don’t need to speak to an agent. It’s more convenient for patients and reduces the call burden on staff.

Action: Review digital patient access strategies to improve patient engagement

Recommended tool: Safe and secure patient portals can facilitate better communication between patients and providers, smoothing out many common bumps in the claims management process. If it’s easier for patients to submit accurate and timely insurance, medical and contact information, it’ll be easier for providers to submit prompt, accurate claims.

3. Provide accurate estimates

In 2022, 40% of respondents said they’d focused on providing accurate cost estimates to patients as a way of reducing claim denials. Patient estimates may not be the most obvious route to improving the denial rate, but they set the stage for successful claims management. If a provider can pull together all the necessary variables to produce accurate estimates, then they have all the pieces in place to submit clean claims. Other byproducts of reliable, upfront estimates can be seen throughout the revenue cycle: patients are more likely to pay their bills sooner and have better patient experiences.

Action: Invest in pre-service patient estimates technology

Recommended tool: Patient Payment Estimates allows providers to pull together complex data on each patient’s specific medical, coverage and financial circumstances into an accurate estimate of what the payer will cover and what the patient will have to pay. These accurate, upfront estimates not only improve the patient experience and make it easier for patients to understand and pay their bills, but also ensure the pieces are in place to support smoother claims management.

4. Digitize registration

Finally, 39% of providers said they’d embraced digital patient registration in 2022 to tackle the problem of denials. As with patient estimates, this approach works by ensuring patient details are as accurate as possible from the start. Improving accuracy on the front-end prevents errors, delays and rework further on in the claims processing workflow.

Digital and self-service registration also reduces the burden on staff. Many of the reasons providers gave for denials related to concerns around managing limited resources for everything from payer policy changes to patient admissions. Digital patient registration allows patients to complete patient access before they come in, so staff are freed up to focus on other tasks.

Action: Implement an automated self-service patient registration solution

Recommended tool: Registration Accelerator reduces reliance on time-consuming manual data-entry processes, which often result in denied or delayed reimbursements. Not only does it alleviate staff pressures and reduce labor costs, it also improves data quality. This solution integrates with existing health information systems, electronic medical records and eCARE NEXT®, which streamlines data entry. This will be key as providers look to reduce labor costs, increase efficiency and accelerate payments.

Effective claims management requires speed, accuracy and flexibility. Find out how Experian Health’s automated claims management solutions can help providers improve healthcare claims processing and reduce denials.

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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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