Explore our compilation of the top 10 denial management solutions for healthcare RCM teams in 2026 and understand the standout features that makes them worth your investment.
February 23, 2026
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Key Takeaways:
• Denials are rising, with an 11.65% initial denial rate, hospitals are losing revenue on more than 1 in 9 claims. Manual follow-up alone can’t keep up with payer complexity and staffing shortages.
• Modern denial management platforms predict high-risk claims, auto-generate appeals, and uncover root causes to prevent repeat denials.
• The best AI denial management solutions combine prevention, automation, and analytics. End-to-end tracking, predictive scoring, and intelligent prioritization are now table stakes.
• Different healthcare denial management tools serve different needs. Some focus on autonomous AI (CombineHealth), others on analytics (MedEvolve), appeals automation (Waystar), voice AI (Kyron), or hybrid services (Optum, Datavant).
• To measure the ROI of a denial management software, organizations should track clean-claim rate (>90%), denial rate (<5%), and overturn rate (>65%) to ensure real revenue impact.
Healthcare claim denials are no longer occasional disruptions, but a frequent occurrence.
In 2025, the average initial denial rate stands at 11.65%, meaning more than one in every nine claims is rejected on first submission.
What makes it even more challenging is that payer rules change frequently and staffing shortages limit how quickly teams can respond. Plus, manual follow-up simply doesn’t scale.
AI-powered denial management solution are helping streamline this process and get hospitals paid faster.
In this guide, we break down the Top 10 AI denial management solutions for healthcare RCM teams to protect their net revenue in 2026.
A healthcare denial management software typically operates across the full denial lifecycle, which includes these stages:
When remittance files return with denials, the platform:
Denied claims are routed into prioritized worklists based on:
Staff receive contextual support, such as required documentation, prior similar cases, and suggested corrections. Many systems pre-populate corrected claims, auto-draft appeal letters, and track resubmissions through final resolution.
Dashboards monitor denial rates, recovery rates, and days-to-appeal. Insights are fed back to registration, coding, and documentation teams—closing the loop and reducing repeat denials over time.
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Healthcare denial management services improve efficiency by reducing preventable claim denials, accelerating recovery, and turning denial data into operational improvements across the revenue cycle. Here’s what it offers:
Structured denial follow-up with defined timelines, escalation rules, and consistent reporting keeps claims from aging out.
Tech-enabled services apply payer logic, documentation checks, and denial trend analysis before and after submission.
Reworking a denial can cost tens of dollars per claim. Preventing and resolving them efficiently reduces administrative waste.
Effective hospital denial management strategies recover revenue that would otherwise be written off. AI-driven validation and predictive risk scoring improve clean-claim performance, while structured appeals increase overturn rates.
CombineHealth’s Denial Management Suite takes a comprehensive approach to both preventing and resolving denials. Instead of treating denial management as a back-end clean-up function, CombineHealth connects multiple AI agents that work together across the revenue cycle, whenever a denial shows up. Here’s how:
Now, what makes these AI agents stand out is their ability to sync up during the denial management workflow. For example, Adam can consult Penny for policy clarification, pull coding validation from Amy, or trigger Rachel to generate a payer-specific appeal — creating a tightly integrated denial response engine.

Beyond handling denials as they occur, CombineHealth’s denial management suite also proactively reduces future denials by identifying:
And all this is done before the claims are submitted.
Key Features
Best for: Large hospitals and health systems looking to scale denial management operations without adding headcount.
MedEvolve addresses denial management through its Effective Intelligence (Ei) platform, combining real-time analytics, workforce automation, and generative AI.
Instead of focusing only on resolving denials after they occur, the denial management platform measures every human touch on a claim, identifies avoidable work, and helps organizations reduce preventable denials by optimizing workflows across the revenue cycle.
Best For: Mid- to large-size provider groups and RCM organizations aiming to reduce manual workload.
Waystar’s Denial + Appeal Management platform combines predictive analytics, generative AI, and automation to help providers overturn denials faster and prevent repeat issues.
Designed for high-volume environments, it prioritizes the most valuable denials, auto-generates payer-specific appeals, and integrates with enterprise systems to streamline resolution at scale.
Best for: Large health systems and multispecialty providers managing high denial volumes.
Experian Health’s Denial Workflow Manager, enhanced by AI Advantage, automates the detection, prioritization, and resolution of denied, held, suspended, and zero-pay claims.
By leveraging ERA/ECS data, predictive analytics, and integrated workflows, the platform standardizes follow-up, eliminates manual remittance review, and provides actionable root-cause insights to improve clean-claim performance.
Best for: Mid- to enterprise-level providers seeking integrated, AI-driven workflows to automate denial follow-up and accelerate cash flow.
Kyron Medical is an AI-native platform that deploys voice AI agents to handle denial follow-up, claim status checks, eligibility verification, and prior authorizations by calling payers directly. It automates phone-based interactions, posts structured notes back into a centralized dashboard, and integrates with EHRs and clearinghouses to reduce manual workload and accelerate resolution.
Best for: Mid-size RCM teams looking to eliminate payer hold times and automate voice-based denial follow-up without heavy IT investment.
Rivet is a denial management platform purpose-built for resolution efficiency. Designed as a hands-on workhorse for billing teams, it combines customizable worklists, batch processing, and automation to streamline appeals and maximize revenue recovery—without percentage-based collections fees.
Best for: Small to mid-size practices, billing companies, and lean RCM teams.
FinThrive Fusion is an AI-driven data and intelligence layer embedded across the FinThrive RCM platform. Rather than functioning as a standalone denial tool, Fusion connects EHRs, billing systems, and payer data into a unified fabric that powers predictive models and dynamic workflows. The result: a shift from reactive denial clean-up to proactive, enterprise-wide revenue optimization.
Key Features
Best for: Large hospitals and health systems leveraging the FinThrive ecosystem.
Optum’s A/R Recovery and Denial Management solution combines managed services with enabling technology to reduce denials and accelerate cash recovery.
Instead of offering a standalone software tool, Optum embeds recovery specialists into existing workflows and supports them with analytics, automation, and reporting to resolve backlogs, address aged A/R, and strengthen denial performance over time.
Best for: Hospitals and health systems with aged A/R, recurring denial trends, or staffing gaps.
SmarterDenials is a clinical AI platform designed to automate evidence-backed appeal letters for denied claims. By analyzing payer denial reasons against full patient records, (including notes, labs, and coding) it generates comprehensive appeals in minutes, reducing manual chart review time for complex clinical denials while keeping teams in control of final submissions.
Best for: Hospitals managing high volumes of clinical denials who need faster, evidence-driven appeals.
Datavant delivers a hybrid denial management model that blends technology, specialized staffing, and clinical expertise.
The solution addresses current denials while implementing systemic fixes to prevent future ones — combining automated appeals, scalable recovery teams, and documentation improvement strategies to reduce revenue leakage across inpatient and outpatient workflows.
Best for: Health systems seeking a combined technology and staffing approach to manage complex, high-volume denials.
Here’s what you should look for in a healthcare denial management software:
Look for denial management solutions with strong operational fundamentals, such as:
Look for solutions that go beyond surface-level reporting.
Finally, assess usability and enterprise readiness:
To measure the success of a denial management service, organizations typically monitor these three metrics:
The denial management platforms in this list show how AI is reshaping denial management. But the biggest impact comes from connecting prevention, appeals, follow-up, and analytics into one coordinated system.
If you're ready to move from reactive denial cleanup to proactive revenue protection, book a demo with CombineHealth and see how autonomous AI agents can reduce denials and accelerate cash flow at scale.
Denial management in healthcare revenue cycle management (RCM) is the process of identifying, analyzing, appealing, and preventing insurance claim denials. It involves tracking denial reasons, correcting errors, resubmitting claims, and addressing root causes to improve clean-claim rates, reduce A/R days, and protect net revenue.
Several companies specialize in denial management, including CombineHealth, Waystar, Experian Health, MedEvolve, FinThrive, Optum, Datavant, SmarterDx (SmarterDenials), Rivet, and Kyron Medical. These vendors offer combinations of AI-driven software, automation, analytics, and managed services to prevent denials and accelerate recovery.
Common denial categories include eligibility issues, missing prior authorization, coding errors, medical necessity denials, duplicate claims, incorrect patient information, bundling/NCCI edits, timely filing limits, modifier errors, and coordination of benefits (COB) issues. Many of these are preventable with stronger front-end validation and payer rule checks.
The two main types of appeals are internal appeals and external reviews.
An internal appeal is the first step, where the insurer re-evaluates the denial, sometimes through an expedited review. If unsuccessful, an external review involves an independent third party assessing the claim, often for medical necessity disputes.
Effective denial reduction includes strengthening eligibility verification, prior authorization checks, coding accuracy, and documentation completeness before submission. Ongoing denial analytics, root-cause analysis, staff training, and AI-powered predictive validation further improve clean-claim rates and reduce repeat denials.
In a healthcare denial management solution, look for features like:
Solutions should also offer explainable AI, automation for follow-up tasks, and measurable impact on A/R reduction and net collections.
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