Production, collections, AR aging, recall fill and case acceptance with names and birthdates stripped out — with deep links straight back into the product where the work happens.
Most practice dashboards reconcile four exports. This one reads the same events the products emit.
Every product publishes events as work happens — claims paid, visits completed, plans accepted, calls answered.
Names, birthdates and record numbers are stripped out before anything reaches the reporting layer — so the numbers are safe to look at anywhere in the office.
Owner and provider views over the same numbers, with a link back into the operational product for anything that needs work.
Not a chart library. The eight questions that get asked every Monday.
Production, collections, new patients, case acceptance and recall fill on one screen, against target.
By provider, by operatory, by procedure category, with the collection ratio that matters rather than the one that flatters.
By payer and by bucket, with the reason codes attached, so the aging report points at a cause.
Utilisation and production per chair and per provider, including where the schedule is leaking.
Fill rate measured from completed visits, not from messages sent.
Group and DSO views with per-location drilldown on the same definitions.
"What did the veneer campaign collect?" requires the ad, the lead, the consult, the booking, the visit and the payment to be the same record. Here they are.
Analytics only reads. It reports on data with the patient identifiers already removed, and sends nothing back.
Names, record numbers and exact dates of birth are replaced with codes and age ranges before anything reaches reporting.
A count low enough to point at one patient is suppressed rather than shown.
Analytics reads and reports. It cannot change a chart, even in principle.
Clicking a number through to the underlying work is a normal chart access, recorded like any other.
Not a chart library. The handful of things an owner wants to know before the first patient is seated.
The same numbers your ledger has, on one screen, without anyone spending an hour building a report first.
AR over ninety days opens the actual claims behind it, so a bad number turns into a work queue instead of a question.
Production, case acceptance, recall fill and chair utilization by doctor and by operatory — measured the same way for everyone.
We will build the scorecard against your own definitions on the call.
Practice Analytics reports with names and birthdates stripped out. Figures shown are synthetic and illustrative.