Denial summary and financial impact
Denied amounts, counts and rates summarized to show the size of the problem and where revenue is affected.
Product
Denial intelligence capabilities
DenialIntel turns healthcare transaction and denial data into evidence that revenue-cycle teams and management can act on. This page describes what the application does — capabilities you can explore in the synthetic demo.
Who DenialIntel is for
DenialIntel is designed for organizations working denials on the provider side of the revenue cycle, and for the teams and leaders responsible for that work.
It provides operational and financial decision support. It does not provide clinical decision support.
- Revenue-cycle leadership
- Denial-management teams
- Hospital and provider finance leadership
- Billing and reimbursement teams
- Healthcare organizations and service providers managing significant claim and denial volumes
Financial and management view
See the scale of denials, where they are concentrated and how they are changing.
Payer analysis
Compare denial volume, value and rates across payers.
Department analysis
See which departments are associated with denial volume and value.
Rates and trends
Track denial rates and trends over time to see whether patterns are improving or worsening.
Investigation
Look beyond the adjustment code to what the connected transaction record shows.
Claim and remittance investigation
Review a denied claim alongside its matched remittance, adjustment amounts and reason codes.
Eligibility evidence
Review 270/271 eligibility information relevant to a denial, where available.
Authorization evidence
Review 278 authorization information relevant to a denial, where available.
Patient and case-level analytics
View denial history and related activity at patient or case level. The public demo uses synthetic records only.
Action
Move from reporting denials to working them.
Ageing
See how long denials have been outstanding so time-sensitive work is visible.
Priority worklist
A prioritized list of denials needing attention, supported by value, ageing and transaction evidence.
Excel and report exports
Export analysis and worklists to Excel and reports for team workflows and management reporting.
Analysis
Find patterns and likely contributing causes worth investigating.
Root-cause analysis
Identifies likely contributing causes for investigation and human review. It is a starting point for review, not a final determination.
Statistical analysis
Highlights patterns, concentrations and changes in denial activity.
ML analysis
Machine-learning analysis highlights patterns and risk indicators that support review and prioritization. Its outputs are supporting signals, not authoritative decisions.
Optional AI explanation
AI explains findings that the deterministic analysis has already established.
AI Insight
Concise summaries of established findings, written for quick review.
AI Deep Dive
A longer narrative explanation of a denial pattern or area, grounded in the established evidence.
AI is optional. It does not perform core calculations, make clinical decisions, decide whether a claim must be paid or replace professional and payer-policy review. In the public demo, AI output is representative and pre-generated.
Questions DenialIntel helps answer
Leadership
Where is revenue being lost? What deserves management attention?
Analysts and billing specialists
What happened? Is action possible? What evidence supports it?
Operational teams
What process or upstream issue is repeatedly producing the denial?
See these capabilities with synthetic data.
The public demonstration requires no login and contains synthetic data only.
Synthetic demonstration data only. Do not enter PHI or other sensitive personal information.