Denial Summary
See denied value, root causes and what remains realistically recoverable after rework cost.
Healthcare Denial Intelligence & Decision Support
Connect claims, remittances, enrollment, eligibility and authorization data to investigate why revenue was denied, prioritize what needs attention and identify patterns that point to prevention opportunities.
Synthetic demonstration data only. No PHI, uploads or login. Use “Explain this page” inside the demo for short optional audio guidance.
What it helps you do
A denial code tells only part of the story. DenialIntel brings related transaction evidence together where available and turns it into focused investigation and action.
See denied value, root causes and what remains realistically recoverable after rework cost.
Check eligibility denials against enrollment coverage on the date of service and surface cases that merit review.
Focus open denials by urgency and net recoverable value, with a recommended action for review.
Read the same denial from different role perspectives and follow the supporting enrollment, eligibility, authorization, claim and remittance evidence where available.
Review denial rates by count and value, payer adjudication time and changes over time.
Management-level views of payer performance, root causes, ageing, statistics, ML signals and appeal evidence.
Optional AI — AI Insight and Ask AI explain aggregated management figures; AI Deep Dive – Patient explains one denied case from established evidence. Live AI is disabled in the public demo; pre-generated synthetic examples are provided.
Explore the demo (opens in a new tab) More about the product
How it works
834 Enrollment → 270/271 Eligibility → 278 Authorization → 837 Claim → 835 Remittance
Related transaction records are connected where available. They are separate records, not a single processing pipeline.
Bring related evidence together around the denial.
Use deterministic processing and business rules to establish the facts.
Rank open denials by urgency and net recoverable value, while setting aside closed appeal windows and cases not worth the cost of working.
Use optional AI to explain established evidence after the facts and analytical signals are available.
Public demo
Production deployment, security controls, data handling and integration requirements would be defined separately for an approved pilot or enterprise implementation. No claim of HIPAA compliance is made for this public demonstration. Security & data
See it in action
Open the live demonstration, use the short page explanations, and see how denial evidence moves from investigation to prioritized action.