Where the dollars actually leak.
CARC and RARC reason codes describe what the payer said. Root causes describe what is actually broken. The reason code says "missing modifier"; the root cause says "the EHR template is not propagating the GT modifier for this provider in this payer's network". The first one is a number. The second one is a fix. We carry 80+ root cause patterns and surface the Pareto every month so a billing director knows which 5 fixes move 70 percent of the dollars.
The five fixes that move 71%.
An anonymized aggregate from a representative multi-site practice. The denial book carries 80+ root cause patterns, but the top 5 explain 71 percent of the denial dollars in the period. Each pattern carries a dollar value, a count, and a recommended action. The billing director plans the month from this view.
The patterns are not abstract. Each one names the broken thing: which payer's eligibility cache went stale, which provider's documentation is missing the time-based statement, which CPT plus modifier combination is triggering the NCCI edit. The fix is the action that closes the pattern, not a generic "improve documentation" memo.
Six capabilities. Pattern to action.
Every denial gets classified into a root cause pattern. Every pattern carries a recommended action. The Pareto, the drill-down, the CDI feedback, the clinician scorecard, the executive readout, and the regional benchmark are the views that turn patterns into work.
80+ patterns, payer-CPT-provider.
Every denial classifies into one of 80+ root cause patterns covering credentialing, eligibility, authorization, documentation, coding, billing rules, and timely filing. Classification uses the 835 CARC/RARC plus the claim context plus the historical pattern library to land on the actionable layer, not the surface signal.
Top 5 explain 70%+.
Monthly Pareto rollup ranks root causes by dollar value impact with cumulative percentage. Top 5 typically explain 60 to 75 percent of denial dollars. Fix the 5, move the dollars. The rollup is the primary view a billing director uses to plan the month.
Slice by any dimension.
Drill-down by payer, CPT, rendering provider, location, or any combination. "Show me UHC denials for 97155 in the last 90 days" returns dollar value, count, root cause distribution, trend line. The diagnostic tool that turns a denial number into a conversation with a payer rep or a clinician.
Documentation patterns, fed back.
When the engine identifies a documentation-related pattern, the CDI feedback loop surfaces it in the provider's review queue and in the documentation training module. The denial pattern becomes a coaching opportunity rather than a billing problem. Closing the loop reduces forward denial volume on the same pattern.
Coaching tool, not punitive.
Monthly clinician scorecards rank providers by clean claim rate, first-pass payment rate, documentation completeness, and dollar value of documentation-attributable denials. Used by practice owners and compliance as a coaching input. Not a punitive tool; the scorecards drive training, not termination.
Peer-set anonymized.
Practice denial profile compared against an anonymized peer set: same specialty, same region, similar payer mix. Clean claim rate, denial dollar per encounter, average days to denial, root cause distribution. Peer set composition documented so the practice owner knows what they are being compared against.
Four steps. Surface to systemic.
From the moment a denial lands on the 835 ERA to the moment the root cause is mapped to a forward-prevention rule, here is the work the analytics module executes.
Classify the denial.
CARC and RARC reason codes are the surface signal. The classifier looks at the claim context, the historical pattern library, and the payer-specific behavior to map the denial to one of 80+ root cause patterns. Confidence-scored.
Aggregate to Pareto.
Root cause patterns aggregate by dollar value and count. Pareto ranks the top patterns and shows cumulative percentage. Drill-down by payer, CPT, provider, location. Trend line over the trailing 90 days for each top pattern.
Feed back to source.
Documentation patterns route to CDI feedback. Coding patterns route to the coding workflow. Eligibility patterns route to the eligibility cache refresh policy. Credentialing patterns cross-reference CredPro and route to the credentialing team.
Prevent forward.
The pattern becomes a prevention rule in the AI Suite. The next claim that fits the pattern signature gets caught at submission instead of denial. Forward denial volume on the closed pattern measurably drops in the next 30 to 60 days.
Measured outcomes from root cause analytics.
Across the active book. Anonymized; individual results depend on payer mix, specialty, and the practice's baseline denial book.
Frequently asked questions: root cause analytics.
What is a root cause pattern in this context?
What is a Pareto rollup?
How does the payer-CPT-provider drill-down work?
What is the CDI feedback loop?
What does a clinician scorecard show?
What is in the monthly executive readout?
How does regional benchmarking work?
How does this connect to CredPro and the AI Suite?
Send 90 days of denials. We send back the Pareto.
A free 90-day denial root cause audit. Drop your last 90 days of 835 denials and a sample of the related 837s. We return a four-page audit covering top 10 root cause patterns by dollar, payer concentration, clinician exposure, recovery dollar projection, and a 90-day fix plan. A senior partner on the call.