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Medonix

Platform · Analytics & BI

The dashboard your CFO already wishes they had.

Medonix Analytics & BI surfaces the metrics your CFO actually tracks (clean-claim rate, days in A/R, denial mix, payer behavior, SLA attainment) in real time, with drill-down by location, provider, specialty, payer, and CPT. Built into the platform, no external BI tool required.

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Real-timeNo daily refresh lag
CFO-readyOut of the box
Drill-downTo claim level
APIPlus CSV / SFTP export

Analytics & BI

The dashboard your CFO already wishes they had, in detail.

Most billing systems give you a stack of static reports designed for a 1995 print run. Modern revenue cycle decisions need real-time data with the right slice (by payer, by provider, by location, by specialty, by CPT) without exporting to Excel and pivoting by hand.

Medonix Analytics & BI ships with a CFO-ready dashboard out of the box: clean-claim rate trended monthly, days in A/R against your SLA, denial taxonomy with root-cause classification, payer behavior with prompt-pay aging, and SLA attainment rolled up across modules. Every tile drills down to the underlying claim list.

Custom payer reports are built into the workflow: when you negotiate a contract amendment with Anthem and want to track the impact, the report exists by Monday. Export to CSV / Excel, schedule recurring email distribution, and pipe to your data warehouse via direct API or SFTP.

How it connects to the rest of your stack.

Analytics is wired natively into the Medonix EHR, PMS, and AI Suite, with no daily ETL and no source-system reconciliation. For practices on a third-party EHR / PMS, Medonix ingests claim and remit data via HL7 / FHIR / 837/835 EDI to populate the same dashboards. Outbound: REST API for programmatic access, SFTP for nightly snapshots, direct connectors to Snowflake, BigQuery, Redshift, and Databricks for customers operating their own data warehouse.

Pairs with

Other platform modules.

Frequently asked

Analytics & BI, answered.

Real-time for claim and payment events, typically seconds from event to dashboard. Aggregate metrics (clean-claim rate, A/R days, denial rate) refresh continuously as the underlying transactions land. No nightly batch lag.

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