Healthcare Denial Management Is Getting Harder. Here's Why and What Works

Denial rates are rising. ACA marketplace plans have been rejecting claims at elevated rates in recent years, a trend that HFMA has documented as worsening across the industry, and that pressure is landing squarely on the revenue cycle teams responsible for resolving them. For billing managers and RCM directors, this is not an abstract industry problem. It shows up as aging AR, frustrated staff, and cash flow gaps that compound month over month.

The instinct is often to hire more people or buy more software. But the harder question is whether the right problems are actually being diagnosed. Most denial management programs treat symptoms rather than causes, which is why the same denial codes appear in reports quarter after quarter without meaningful reduction.

Why Denial Rates Keep Climbing

The volume problem has structural roots. ACA marketplace enrollment has grown substantially over the past several years, which has increased both revenue from that patient population and exposure to payer behavior that organizations like HCA have flagged as increasingly aggressive on the denial side. More covered lives means more claims, and more claims means more surface area for denials to accumulate.

Payer policy complexity adds another layer. Prior authorization requirements have expanded across specialties and payer types, and eligibility rules change frequently enough that information that was accurate at the time of scheduling may be outdated by the time a claim is submitted. When front-end verification fails, the resulting denials often look like billing errors but are actually process failures upstream.

There is also a systemic staffing problem. HFMA has noted that automation is increasingly necessary not because denial management is simple, but because the volume of payer interactions required to resolve denials strains what manual teams can realistically handle at current staffing levels (HFMA, 2024). The math does not favor adding headcount indefinitely.

Fix 1: Stop Treating All Denials as Equal

The most operationally significant shift a denial management program can make is prioritization by financial impact rather than working denials in date order. Not every denied claim is worth the same effort to appeal, and not every denial type responds to the same intervention.

A triage model that segments denials by dollar value, payer, denial code, and likelihood of successful appeal allows teams to concentrate effort where recovery is most probable. Clinical denials, for instance, often require physician review and peer-to-peer calls, while technical denials may resolve with a corrected claim. Mixing those two in the same queue creates inefficiency that compounds over time.

Fix 2: Move Verification Earlier in the Workflow

A significant share of denials are preventable at the front end, before a claim is ever submitted. Eligibility mismatches, missing prior authorizations, and coordination of benefits errors are among the most common denial drivers, and all of them originate before the clinical encounter.

Catching these upstream requires verification workflows that run early enough to act on the result. Verifying eligibility the day before a patient visit rather than at check-in, and confirming prior auth status before a procedure is scheduled rather than after, creates the window needed to correct problems while there is still time. It is worth noting that not all denials are preventable at the front end: complex clinical denials and payer-specific policy disputes often require appeal regardless of how thorough the initial verification is. But eliminating the denials that are preventable frees up staff capacity for the cases that genuinely require it.

Fix 3: Build Denial Pattern Analytics Into the Workflow

Denial management that operates without pattern data is reactive by definition. Teams that track denial codes by payer, provider, and service line can identify systemic issues that no amount of individual claim resolution will fix.

For example, a recurring modifier error that appears on 30 claims per month from a single provider is not a 30-claim problem. It is a single documentation or coding issue that needs to be corrected once. Conifer Health Solutions, discussing denial management strategy in a Becker's Hospital Review podcast (2025), emphasized that analytics-driven denial reduction requires investing in the infrastructure to surface those patterns, not just the capacity to work claims individually.

Similarly, Finvi's recent enhancement to its denial management suite specifically added pattern detection and workflow prioritization features in response to customer demand for more structured insight into denial trends (Becker's Hospital Review, 2025). That product direction reflects a broader industry consensus that visibility into denial data is as important as the capacity to act on it.

Fix 4: Automate Payer Outreach for Status and Follow-Up

Denial follow-up requires payer contact, and payer contact is expensive. Staff spend significant time navigating IVRs, waiting on hold, and documenting call outcomes, often for information that is available through automated channels if the infrastructure exists to retrieve it.

Automating the outreach layer of denial management, specifically the status checks, hold queues, and initial follow-up calls, frees skilled staff to focus on the appeals that require human judgment: writing clinical justifications, escalating complex cases, and managing peer-to-peer reviews. HFMA has argued that automation's role in denial management is precisely to handle the high-volume, low-complexity interactions so that staff capacity can be redirected toward the high-complexity work where human expertise actually matters (HFMA, 2024).

Fix 5: Close the Loop Between Denials and Front-End Processes

The most durable denial reduction comes from feeding denial data back into the front-end workflows that generate claims in the first place. This loop is often missing: the AR team works denials, the billing team submits claims, and the scheduling or authorization teams operate largely independent of what is being denied downstream.

Establishing a regular review process where denial patterns inform front-end protocol updates creates the conditions for genuine reduction rather than just faster recovery. It requires coordination across departments that do not always communicate naturally, but it is the mechanism by which denial rates actually decline rather than just cycle.

What to Look For in Denial Management Tools

If your team is evaluating technology to support denial management, the criteria that matter most are: structured payer data returned from every interaction (not just a status code), audit trails that document what was retrieved and when, configurable workflow prioritization, and native pattern analytics that surface denial trends without requiring manual reporting. Tools that automate outreach but return unstructured results create their own documentation problems. The output matters as much as the automation itself.

Sources

• HFMA. "Automation's Role in Denial Management." 2024. https://www.hfma.org/revenue-cycle/automations-role-in-denial-management
• Becker's Hospital Review. "Mastering Denial Management in Healthcare with Conifer Health Solutions." 2025. https://www.beckershospitalreview.com/podcasts/podcasts-beckers-hospital-review/mastering-denial-management-in-healthcare-with-conifer-health-solutions-132995043
• Becker's Hospital Review. "Finvi Enhances Functionality of Artiva HCx with New Denial Management Suite." 2025. https://www.beckershospitalreview.com/strategy/finvi-enhances-functionality-of-artiva-hcx-with-new-denial-management-suite