Healthrise Launches Navigator AI to Help Healthcare Organizations Prevent Claim Denials Before They Happen

Embedded AI within Denials Navigator identifies documentation gaps, coding inconsistencies and payer-related risks earlier in the revenue cycle to reduce preventable revenue leakage

Contact: Trysten Loos | 906.235.4327 | tloos@identitypr.com

Key Facts (At-a-Glance):

• Launch: Healthrise has introduced Navigator AI, an AI layer embedded in the Denials Navigator workflow.
• Purpose: Prevents revenue leakage by identifying upstream issues that lead to claim denials.
• Core function: Supports denial prevention, denial resolution and revenue cycle performance improvement.
• Integration: Operates directly within existing denial management workflows as a real-time decision support tool.
• Focus areas: Documentation gaps, coding inconsistencies, eligibility errors and missed charge capture.
• Outcome goal: Reduce preventable denials and rework while improving financial performance.

Healthrise today announced the launch of Navigator AI, a new embedded artificial intelligence layer within its Denials Navigator platform designed to help healthcare organizations prevent claim denials, accelerate resolution timelines and strengthen overall revenue cycle performance.

Navigator AI delivers real-time denial intelligence directly within the denial workflow, helping organizations identify root causes earlier and reduce preventable revenue leakage before claims are submitted.

Why It Matters

Hospitals continue operating on margins as thin as 1% to 3%, while administrative costs tied to denied or corrected claims continue to rise. At the same time, claim denials are increasing across the healthcare industry, driven by growing payer complexity, stricter authorization requirements and ongoing reimbursement and administrative pressure. According to Healthrise analysis:

• Up to 30% of preventable revenue leakage originates in pre-bill and early-cycle workflow breakdowns
• Common upstream issues include documentation gaps, coding inconsistencies, eligibility errors and missed charge capture opportunities
• Reworking denied claims can cost providers between $25 and $118 per claim
• Medicaid reimbursement and eligibility changes from the One Big Beautiful Bill Act, along with broader federal healthcare proposals, are adding structural pressure that is expected to increase denial volumes and administrative complexity across reimbursement pathways.

Healthrise said these operational inefficiencies continue creating reimbursement delays, increased administrative burden and unnecessary downstream denial volume.

“Denials are not the problem, they’re the symptom,” said David Farbman, Chief Executive Officer of Healthrise. “The real failure point is upstream, where preventable errors enter the revenue cycle long before a denial occurs. Navigator AI helps organizations identify root causes earlier, shift from reactive resolution to proactive prevention and improve overall financial performance.”

What Navigator AI Does

Navigator AI functions as a real-time assistant embedded within Denials Navigator and is designed specifically for healthcare revenue cycle operations. The platform helps organizations:

• Summarize denial cases in real time
• Identify likely root causes
• Recommend next-step actions
• Surface related denial trends and payer behavior patterns
• Support faster and more consistent operational decision-making

Unlike general-purpose artificial intelligence tools, Navigator AI is purpose-built for denial management workflows and trained on payer behaviors, denial patterns and real-world healthcare revenue cycle resolution strategies.

Connecting Denials Back to the Source

Healthrise said Denials Navigator helps organizations move beyond simply resolving denials by connecting denial activity back to upstream operational issues. This includes:

• Documentation workflow breakdowns
• Billing and coding inconsistencies
• Eligibility verification issues
• Payer rule and authorization failures

The company said this visibility allows healthcare organizations to better understand not

A Shift Toward Prevention-Led Revenue Cycle Strategies

Healthrise said the launch reflects a broader shift across healthcare finance toward prevention-first revenue cycle management strategies focused on reducing downstream rework and correcting issues earlier in the billing lifecycle.

“What we’re seeing is a fundamental reset in how revenue cycle performance is defined,” added Farbman. “Organizations making the most progress aren’t just resolving denials more efficiently, they’re preventing the errors that create them. Prevention is becoming the performance metric that matters most.”

For more information about Healthrise, Denials Navigator and Navigator AI, visit Healthrise.

Release Summary:

• Healthrise has launched Navigator AI, an embedded artificial intelligence layer within its Denials Navigator platform for healthcare revenue cycle management.
• Navigator AI is a revenue cycle AI tool designed to improve denial prevention, accelerate denial resolution and reduce preventable revenue leakage.
• It functions as a real-time decision support assistant embedded directly within Denials Navigator workflows.
• The system identifies upstream causes of revenue cycle breakdowns before claims are submitted or denied.
• Key upstream drivers include documentation gaps, coding inconsistencies, eligibility errors and missed charge capture.
• Navigator AI analyzes denial cases in real time to identify likely root causes of claim denials.
• It recommends next best actions to support faster, more consistent denial resolution decisions.
• The platform leverages structured inputs from denial workflows, payer behavior patterns and historical resolution outcomes.
• It embeds AI directly into revenue cycle operations to reduce manual analysis and improve workflow consistency.
• Healthrise positions Navigator AI as part of a broader industry shift toward prevention-led revenue cycle management focused on addressing issues upstream of denial.

FAQs:

What is Navigator AI?

Navigator AI is an embedded artificial intelligence layer within Healthrise’s Denials Navigator platform designed to improve healthcare revenue cycle performance by preventing claim denials and accelerating denial resolution.

How does Navigator AI work?

Navigator AI operates directly within Denials Navigator workflows as a real-time decision support assistant that analyzes denial cases, identifies likely root causes and recommends next best actions.

What problem does Navigator AI solve?

Navigator AI addresses preventable revenue leakage in the healthcare revenue cycle by identifying upstream issues before claims are submitted or denied.

What are examples of upstream revenue cycle issues?

Key upstream issues include documentation gaps, coding inconsistencies, eligibility errors and missed charge capture that can lead to downstream claim denials.

How does Navigator AI support denial prevention?

Navigator AI identifies patterns in revenue cycle data and upstream workflow breakdowns to help prevent avoidable claim denials before they occur.

How does Navigator AI improve denial resolution?

The system analyzes denial cases in real time and recommends next best actions to improve speed, consistency and accuracy in resolution decisions.

What data does Navigator AI use?

Navigator AI leverages denial workflow data, payer behavior trends and historical resolution strategies to generate decision support insights.

How is Navigator AI different from general AI tools?

Unlike general-purpose AI tools, Navigator AI is purpose-built for healthcare revenue cycle operations and is embedded directly within Denials Navigator workflows.

Where is Navigator AI used?

Navigator AI is used within healthcare organizations’ revenue cycle operations through the Denials Navigator platform from Healthrise.

What is the goal of Navigator AI?

The goal of Navigator AI is to reduce preventable revenue leakage and shift healthcare organizations from reactive denial management to prevention-led revenue cycle operations.