Denials are rarely random — they cluster around specific payers, codes, or documentation gaps. Without systematic analysis, teams end up fighting the same denial reasons over and over.
Most revenue cycle teams handle denials one claim at a time, which means the same root cause — a missing modifier, an eligibility mismatch, a documentation gap — can trigger the exact same denial hundreds of times before anyone notices the pattern. By the time it’s noticed, months of avoidable denials have already happened.
This is compounded by staff turnover. Institutional knowledge about which payers are prone to which denial reasons often lives in one or two experienced employees’ heads rather than in a documented, searchable system — so when that person leaves, the pattern-recognition leaves with them.
We analyze denial data to surface patterns and root causes, giving your team the insight to fix upstream issues instead of only reacting to individual denials.
Instead of treating every denial as a one-off problem to resolve, our analysis groups denials by payer, code, provider, and service line to surface the patterns driving the volume. Often, a handful of root causes are responsible for a disproportionate share of denials — and fixing those upstream, whether it’s a coding habit, a missing pre-authorization step, or a documentation template, prevents far more denials than working the backlog faster ever could.
This analysis also accounts for timing — some denial patterns are seasonal, tied to specific plan-year changes, or triggered by a payer’s own system updates, and distinguishing a temporary spike from a persistent structural issue is part of what makes the analysis genuinely useful rather than just a bigger spreadsheet.
This workflow is available today through a controlled pilot, pairing AI-assisted analysis with our RCM domain team’s judgment on which denials are worth appealing and how to assemble the supporting documentation.
- 01Flag Denial
AI-assisted analysis surfaces denials and patterns; our RCM team judges which are worth appealing.
- 02Assemble Documentation
For the denials worth pursuing, the pilot helps assemble the supporting documentation.
- 03Route Appeal
Appeals move through a clear, trackable workflow, with outcomes recorded over time.
Not every denial is worth appealing, and knowing which ones are is itself a judgment call informed by data — payer history, appeal success rates, and the value of the claim. For the denials worth pursuing, the pilot helps assemble the supporting documentation and route the appeal through a clear, trackable workflow, rather than letting it live in an email thread or a shared folder that’s easy to lose track of.
The workflow also maintains a record of appeal outcomes over time, so your team builds a growing, searchable history of what worked with which payer — turning institutional knowledge that used to live in one person’s head into something your whole team can rely on.
Denial management is currently available through Promantra.ai’s controlled pilot program, so we don’t yet have published results specific to this workflow — we’d rather be upfront about that than imply proof we don’t have yet.
What a pilot is designed to target: a measurable reduction in overall denial rate, faster appeals turnaround, and clear visibility into the root causes driving revenue leakage — with success criteria for each agreed before the pilot begins, and results published here once verified.
A member of our team will reach out within one business day to schedule a short discovery call — no obligation.