Reporting and prediction from the data your practice already has.
We connect to the data your practice management system already produces and turn it into analytics, dashboards and predictive models. Everything below runs on de-identified data from a real dental practice.
Demos
All demos use a de-identified copy of the data: patient identities are replaced with pseudonyms, names and emails are fake, birth dates are reduced to year, and provider and clinic identifiers are removed. Dollar totals, dates and counts are the real ones. No login required.
Appointment Risk
A model scores every upcoming appointment with its probability of being cancelled or missed. The dashboard lists who to call first, what drives the risk, and the revenue at stake; two sliders let you change the revenue assumptions.
Claims & Insurance
Claim rejections by carrier and month, how long each payer takes to respond, and estimate accuracy: what the practice told patients insurance would pay versus what insurance actually paid.
A/R Aging
Outstanding patient and insurance receivables by aging bucket and by responsible party, with a drill-down to the ledger entries behind each balance.
What we do
- Connection to your practice system. We work from whatever your system makes available: a vendor API where one exists, or scheduled data exports where it doesn't. Nothing changes in how the office uses the system.
- Practice dashboards. Production, collections, A/R, payer mix, provider productivity, no-show and cancellation rates, new-patient growth. Figures are reconciled to your system's own built-in reports before they go on a dashboard.
- Revenue-cycle analysis. Claim aging and rejections, payer response times, insurance-estimate accuracy versus actual payment, fee-schedule review.
- Predictive models. Appointment cancellation risk (live above); treatment acceptance, patient reactivation, claim-denial risk and revenue forecasting on the same data. Each model comes with a holdout evaluation and a plain-language explanation like the one linked from the Appointment Risk demo.
- Self-service for staff. Curated data models (ledger, appointments, claims, payments, patients, A/R) in a point-and-click BI tool, so the office can answer its own questions without writing SQL.
- De-identified copy for safe sharing. A PHI-masked mirror of the warehouse for development, vendors and demos. Same totals to the penny; no way back to the real patient without the key. The production data stays in your environment under a BAA.