RCM analytics

Practice-wide revenue-cycle dashboard. Lives at /admin/rcm-analytics.

Metrics shown

First-pass rate — % of claims paid on first submission (no denial, no resubmission, no correction).
Denial rate by payer — denial % per payer with trend.
Denial rate by CARC — which denial codes account for the most dollars. Drives the “fix the one thing that breaks 40% of claims” prioritization.
Days in A/R — average from claim submit to ERA receipt, bucketed by payer.
Charge-capture lift — additional $ surfaced by AI charge capture vs. provider-only coding.
Underpayment $ — dollars left on the table per payer, from the contracts module.
Scrubber catch rate — denials prevented vs. predicted, with the model’s per-rule precision / recall.

Time series

Each metric ships with a 12-month trend line so you can see direction. Filters: by payer, by provider, by service location.

What it doesn’t pretend to be

Not a benchmark. We don’t compare your practice to “industry averages” because the data sources for those benchmarks are unreliable.
Not a forecast. Reports are descriptive, not predictive — the scrubber’s tenant-historical model is the only place we predict.

Export

All metrics export as CSV / JSON. Pollen8-built dashboards on top live in the BI satellite — if you want richer visualization or to combine RCM with clinical metrics, pollenix.bi is the right place.

Per-provider productivity

Provider-level breakdown (encounters, charges, RVUs, AR days) lives in Productivity. RCM analytics is practice-wide; productivity is per-doctor.