At A Glance
Denial management is the process of addressing why healthcare claims are rejected or denied, instead of resolving them after they occur. This article explores denial management strategies, why outdated processes fail and how AI-driven solutions can help reduce denials and streamline workflows.
Key takeaways:
- Understanding why a claim is denied helps providers future-proof new claim submissions and reduce the need for costly reworks.
- Manual, resource-intensive denial management processes can result in lost revenue, patient frustration and a heavy administrative burden on staff.
- Organizations that use AI-driven denial management solutions, such as Experian Health’s Patient Access Curator™ (PAC), can improve data accuracy, prioritize high-risk claims and reduce avoidable denials.
Healthcare claim denials remain a persistent challenge. In 2026, 25% of providers reported that denial rates had increased over the previous 12 months, according to Experian Health data. When claims are not paid as expected, providers face more rework and patients may face greater uncertainty about what they owe.
Data-driven denial management solutions help providers identify why claims are denied, prioritize follow-up and use those findings to prevent avoidable denials before they occur.
This article looks at the importance of denial management and provides strategies to move from reactive rework toward prevention, using automation and artificial intelligence (AI) tools such as Experian Health’s Patient Access Curator.
What is denial management in healthcare?
Denial management in healthcare is the structured process of identifying why a claim was denied, reworking the claim for resubmission and using denial data to prevent similar issues in future submissions. Effective denial management connects downstream follow-up with upstream prevention to support more accurate claims and more efficient reimbursement workflows.
Many organizations use manual denial management processes. These workflows can be time-consuming and costly, especially for teams managing high claim volumes with limited staff capacity.
How does denial management fit into revenue cycle management (RCM)?
In healthcare, denial management is part of claims management and the broader revenue cycle. Claims management includes preparing, submitting and following up on claims, while denial management focuses on claims that were not paid as expected and the actions needed to resolve or prevent those denials.
When claims are denied, providers use denial management to identify the reason, determine the appropriate next action and, when warranted, correct, appeal or resubmit the claim.
Why is denial management important in healthcare?
Denial management helps providers understand why payers did not approve claims and reduce recurring issues. Experian Health’s 2025 State of Claims research found that 41% of surveyed revenue cycle leaders said at least one in 10 claims is denied. The data also found that around 90% of denials require at least some human review before resubmission, adding pressure on already busy revenue cycle teams.
Denied claims create administrative work, delay reimbursement and can make the patient financial experience more confusing. As denial volumes rise, providers need processes that identify root causes, focus staff on the right work and streamline workflows.
How does the denial management process work?
| The healthcare denial management process typically involves four key steps: |
| 1. Tracking — Monitor claims from submission through final adjudication and identify denials as quickly as possible. Denied claims should be categorized by type, payer and service to identify trends and understand underlying issues that need addressing. |
| 2. Investigation — Determine the cause of each denied claim, such as coding errors, missing documentation, authorization issues or inaccurate patient information. This stage often involves collaboration among billing teams, coders and clinicians to pinpoint what went wrong. |
| 3. Rework — Gather missing information or documentation, correct errors and follow the payer’s requirements for reconsideration, appeal or resubmission. Track the outcome so teams can see which actions resolve denials and where problems persist. |
| 4. Prevention – Use denial trends to improve upstream processes, staff training, system edits and payer-specific workflows. Prevention shifts denial management from repeated rework toward reducing avoidable errors before claims are submitted. |
What are the best strategies for effective healthcare denial management?
At a foundational level, automation-based denial management tools, such as Experian Health’s Denial Workflow Manager, can help teams organize denied claims, standardize follow-up and focus staff on work that needs attention.
Organizations can take denial management further by combining downstream workflow automation with prevention. Useful strategies include improving data accuracy at registration, identifying high-risk claims before submission and prioritizing denied claims based on expected value and likelihood of recovery.
Prevent denials with more accurate upstream patient access
Incomplete or inaccurate information remains a leading source of claim denials. Experian Health’s State of Claims 2025 identified missing or inaccurate claim data, authorization issues and inaccurate or incomplete patient information among the top denial drivers. The survey also found that 26% of providers said at least one in 10 denied claims could be traced to intake errors.
Addressing errors on the front end can prevent downstream rework. Strong patient access processes help teams collect more accurate coverage and demographic information before a claim is created.
Experian Health’s Patient Access Curator uses AI data to check and validate eligibility, Coordination of Benefits (COB), Medicare Beneficiary Identifier (MBI), demographics and insurance coverage in real time. These checks can help reduce registration and coverage errors before claim submission.
Process denials more efficiently with AI-powered solutions
AI-enabled tools like Patient Access Curator and AI Advantage™ from Experian Health can support denial management at different points in the revenue cycle.
On the front end, Patient Access Curator helps verify and update patient coverage and demographic information. Mid-cycle and after a denial, AI Advantage can identify claims at higher risk of denial and help prioritize denied claims for follow-up.
AI Advantage includes Predictive Denials and Denial Triage. Predictive Denials uses an organization’s historical claims data to identify claims with a higher likelihood of denial before submission, while Denial Triage helps segment denied claims so teams can prioritize follow-up.
Here’s a closer look at how Experian Health’s AI Advantage two-stage process works:
- Stage 1: Predictive Denials evaluates claims before submission using historical payment and denial patterns. It flags claims with a higher likelihood of denial so staff can review them before they go to payers.
- Stage 2: After a claim has been denied, Denial Triage uses algorithms to segment denials and help teams prioritize claims based on factors like potential value.
Together, Experian Health’s Patient Access Curator and AI Advantage support a more connected approach to denial prevention and follow-up. The goal is to improve data quality, identify risk earlier and direct staff attention to the claims that need it most.
The bottom line: What can healthcare leaders expect for the future of denial management?
The future of denial management in healthcare will depend on better data, efficiency and accuracy. AI can help teams identify patterns, pinpoint claims at risk of denial and prioritize follow-up, but it does not remove the need for human reviews. With these tools, healthcare organizations can reduce guesswork, minimize the denial spiral and reduce financial losses from denied claims.
Frequently asked questions about denial management
Denial management includes the full process of identifying, correcting, appealing or resubmitting and learning from denied claims. Denial prevention is the upstream part of that process: improving data, authorizations, coding and claim edits before submission to reduce avoidable denials.
According to Experian Health’s State of Claims 2025, common drivers include missing or inaccurate claim data, authorization issues and inaccurate or incomplete patient information.
See how AI Advantage and Patient Access Curator can help healthcare organizations prevent claim denials and manage claims workflows.
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