Dentist slang and KPIs, in plain English.

A Dental Service Organization: a company that provides business, admin, and operational support to multiple dental practices under one parent group.

DSO stands for Dental Service Organization (sometimes Dental Support Organization). It's the corporate entity that owns or supports multiple dental practices, handling non-clinical operations such as billing, HR, marketing, procurement, and analytics so clinicians can focus on care. In Root Data, an organization is treated as a DSO view once it has two or more synced offices, and emails + dashboards automatically switch to show practice-vs-organization comparisons.

Two or more practice locations operating under a shared owner or brand, often smaller than a DSO.

A group practice is a smaller multi-location structure, often 2-10 offices, typically without the full corporate services layer of a DSO. Root Data supports both models with the same enterprise dashboard.

Practice Management System: the software used to run the practice (scheduling, charting, billing).

A Practice Management System (PMS) is the operational software running the practice — examples include Open Dental, Dentrix, and Eaglesoft. Root Data supports Open Dental today through a read-only integration, with Dentrix and Eaglesoft on the roadmap for future support.

A dental practice management system used for scheduling, charting, billing, procedures, and reporting.

Open Dental is the practice management system Root Data supports today. Root Data connects to Open Dental through a secure read-only integration and turns operational data into dashboards, KPI reporting, and AI insights.

A dental practice management system used by many practices for scheduling, charting, billing, and reporting.

Dentrix is a widely used dental PMS. Root Data does not support Dentrix integration today; it is on the PMS integration roadmap and will come in due time after the Open Dental experience is fully established.

A dental practice management system used for practice operations, scheduling, billing, imaging workflows, and reporting.

Eaglesoft is a widely used dental PMS. Root Data does not support Eaglesoft integration today; it is on the PMS integration roadmap and will come in due time after the Open Dental integration path is mature.

The planned sequence of practice management systems Root Data expects to support over time.

Root Data supports Open Dental today. Dentrix and Eaglesoft are on the integration todo list, and future support will be added carefully so each PMS experience has reliable setup, accurate KPI logic, and clear reporting.

The integration layer used to securely access Open Dental data for supported workflows.

The Open Dental API lets approved applications access practice data through structured endpoints. Root Data uses a secure Open Dental integration path to sync analytics data without writing back to the PMS.

The Open Dental service component involved in supported API connectivity.

The Open Dental eConnector is part of the Open Dental setup path for API access. Practices may need it installed and running before Root Data can connect and begin syncing analytics data.

A connection that reads practice data for analytics without changing the PMS.

A read-only PMS integration is important because it lets the analytics platform calculate KPIs without modifying appointments, patients, billing, procedures, or clinical data in the source system.

The full fee-schedule value of all procedures performed, before any adjustments.

Gross production is the total dollar value of procedures completed in a period, valued at the office's fee schedule. It does not account for write-offs, insurance adjustments, or discounts. It's useful for measuring clinical output, not actual revenue.

Gross production after insurance write-offs and other legitimate production adjustments.

Adjusted production equals gross production minus write-offs and production-side adjustments (PPO fee reductions, courtesy discounts, etc.). It's the best proxy for the real expected value of the work performed.

Total money actually collected (patient payments + insurance payments) in the period.

Gross collections is the total cash received from patients and insurance carriers. It includes direct patient payments (PmsODPayment.payAmt) and insurance check amounts (PmsODClaimPayment.checkAmt).

Gross collections minus merchant / finance fees. The money that actually lands in the practice's bank.

Net collections = gross collections − |merchant & finance fees|. Merchant fees come from card processors and financing companies (e.g., CareCredit) and are tracked as negative adjustments. Net collections represent the true cash that reaches the practice after those fees are deducted.

Collections divided by adjusted production. A health check on how well you collect what you earn.

Collections ratio = collections / adjusted production. A healthy practice typically runs at 98%+ over a trailing window. Sub-95% often signals billing, follow-up, or write-off issues.

Fees charged by card processors and financing companies, deducted from gross collections to get net collections.

Merchant and finance fees are costs charged by payment processors (Visa, Mastercard, CareCredit, etc.) for accepting cards and patient financing. In the PMS they usually appear as negative adjustments. Root Data reports them as an absolute value and subtracts them from gross collections to calculate net collections.

The cost of running the practice as a percentage of collections.

Overhead is total practice operating expenses (staff, rent, supplies, lab, etc.) divided by collections. Benchmarks vary by specialty; most general practices target 55-65%.

Adjusted or gross production attributed to each doctor or hygienist.

Production per provider helps owners understand provider capacity, diagnose scheduling or case mix issues, and support compensation or coaching conversations with a consistent data view.

Average production generated for each completed patient visit.

Production per visit is production divided by completed visits. It helps separate volume problems from value-per-visit problems and can reveal changes in case mix or diagnostic patterns.

Average production generated by new patients in a period.

Production per new patient shows whether new patient flow is creating meaningful economic value. It is often more useful than new patient count alone because a high volume of low-value or poorly retained patients can still underperform.

Average collections associated with new patients in a period.

Collections per new patient helps operators understand whether new patient demand is translating into actual cash collection. It pairs well with show rate, reappointment, case acceptance, and production per new patient.

Expected production value already scheduled on the appointment book.

Scheduled production is a forward-looking measure of the value currently on the schedule. It helps teams identify future gaps before they become production shortfalls.

Production from procedures completed during the reporting period.

Completed production reflects work actually performed, not just planned or scheduled. It is central to production trend analysis and provider performance review.

The amount reduced from gross fees because of insurance contracts or other adjustments.

Write-offs reduce gross fee-schedule production to a more realistic expected value. Tracking write-offs helps owners understand payer mix, PPO pressure, and the gap between gross production and collectible revenue.

An adjustment reflecting the difference between office fees and contracted PPO fees.

PPO adjustments are a major reason gross production can overstate practice economics. Monitoring PPO adjustments helps practices understand insurance plan profitability and fee schedule pressure.

Money collected directly from the patient for balances, copays, deposits, or services.

Patient payments are one part of total collections. Separating patient payments from insurance payments can reveal front desk collection effectiveness and patient financing behavior.

Money collected from insurance carriers for submitted claims.

Insurance payments are claim-related collections from carriers. Tracking them alongside patient payments helps teams diagnose collection delays, claim follow-up issues, and payer mix changes.

Money owed to the practice by patients or insurance after services are completed.

Accounts receivable is the unpaid balance sitting after production. High or aging A/R can signal insurance follow-up problems, patient billing weakness, or poor point-of-service collection discipline.

A view of accounts receivable grouped by how long balances have been outstanding.

A/R aging usually groups balances into buckets such as 0-30, 31-60, 61-90, and 90+ days. Older balances are harder to collect and deserve more urgent follow-up.

The list of standard office fees assigned to procedure codes.

A fee schedule determines the gross value of procedures before insurance write-offs, discounts, or adjustments. It is the starting point for gross production analysis.

The code used to identify a dental procedure for treatment, billing, and reporting.

Procedure codes make production and case mix measurable. They support reporting by service type, provider, hygiene vs. restorative mix, and treatment acceptance patterns.

A patient with no prior recorded visit at the practice, completing their first appointment in the period.

A new patient (NP) is someone seen at the practice for the first time. NP volume, NP production, and NP show rate are leading indicators of marketing, referral health, and schedule capacity.

Percentage of scheduled new-patient appointments that actually show up and complete.

NP show rate = completed new-patient appointments / scheduled new-patient appointments. Low show rates usually point to weak confirmation protocols or unqualified lead flow.

Percentage of new patients who leave with a follow-up (hygiene or treatment) scheduled.

NP reappointment rate measures whether new patients are being retained. It captures how many NPs leave with a next appointment on the books, which is one of the single best predictors of lifetime value.

An appointment cancelled late or missed entirely.

Broken appointments include late cancellations and no-shows. Tracking broken-appointment rate surfaces scheduling hygiene, confirmation process quality, and patient trust issues.

Diagnosed treatment that has not yet been scheduled on the books.

Unscheduled treatment is the dollar value of diagnosed, accepted, or presented procedures sitting unscheduled. It's one of the highest-leverage opportunity pools in any practice.

New-patient bookings captured in Salesforce (marketing/intake) before they land in the PMS.

For DSO practices using Salesforce for intake or marketing automation, some new-patient appointments are first booked in Salesforce and later reconciled in the PMS. Root Data shows the combined total (Open Dental + Salesforce) so owners see every booked NP, not just those already in the PMS.

How much available schedule time is filled with appointments.

Appointment fill rate helps teams understand whether provider and operatory capacity is being used. It should be reviewed with production value, not just appointment count.

The percentage of appointments cancelled during a reporting period.

Cancellation rate helps reveal schedule reliability. High cancellation rates reduce chair utilization, production consistency, and team efficiency.

The percentage of scheduled appointments where the patient does not arrive.

No-show rate is a direct measure of schedule reliability and patient commitment. It is especially important for new patients, hygiene, and high-value treatment visits.

A cancellation made on the same day as the appointment.

Same-day cancellations are harder to fill and often more costly than early cancellations. Tracking them separately helps teams evaluate confirmation and standby-list workflows.

The share of upcoming appointments confirmed before the visit.

Appointment confirmation rate is an early warning signal for broken appointments. Weak confirmation rates often show up as no-shows, same-day cancellations, and lower chair utilization.

The marketing, referral, or intake channel that produced a new patient.

New patient source helps owners understand which channels create retained, valuable patients. It is stronger when paired with show rate, production per new patient, and reappointment rate.

The percentage of leads that become booked appointments or completed visits.

Lead conversion rate connects marketing demand to scheduling outcomes. For groups using Salesforce, it helps compare intake performance against Open Dental appointment outcomes.

The percentage of inquiries or leads that become scheduled appointments.

Booking conversion rate shows whether the front desk, call center, or intake workflow is turning demand into appointments. It is a leading indicator for new patient volume.

The ability to keep patients active and returning for care over time.

Patient retention is affected by hygiene reappointment, treatment follow-through, patient experience, and recall systems. For new patients, reappointment is one of the earliest retention signals.

A patient considered active because they have been seen or scheduled within a defined period.

Active patient definitions vary by practice, but the concept matters because a large chart count does not equal a healthy patient base if many patients are inactive or overdue.

A patient who has not returned or scheduled within the practice's active-patient window.

Inactive patients represent lost recall, treatment, and relationship value. Reactivation campaigns often start by identifying overdue or inactive patients in the PMS.

Estimated long-term value of a patient relationship.

Patient lifetime value is influenced by hygiene retention, case acceptance, referral behavior, and recurring care. New patient count matters more when those patients stay active.

Percentage of hygiene patients leaving with their next hygiene appointment already scheduled.

Hygiene re-appointment (or recare) rate is the percentage of hygiene visits that end with the patient's next cleaning on the books. It's the single strongest indicator of recurring revenue health. Drops often show up weeks before collections does.

Share of hygiene visits that are periodontal rather than preventive (prophylaxis).

Perio % measures periodontal services (scaling & root planing, periodontal maintenance) as a share of total hygiene visits. Benchmarks are typically 30-40%; chronically low perio % usually indicates under-diagnosis.

Average adjusted production generated by the hygiene department per scheduled hour.

Hygiene production per hour is adjusted hygiene production divided by scheduled hygiene hours. It captures diagnostic assertiveness, fluoride uptake, and appropriate perio utilization in one number.

How well the practice keeps hygiene patients returning at the right interval.

Hygiene recall effectiveness combines reappointment, overdue patient follow-up, cancellations, and completed hygiene visits. It is one of the clearest signs of recurring revenue health.

A measure of how reliably patients remain active in the hygiene schedule.

Recare effectiveness shows whether patients are staying connected to preventive care. Weak recare often appears before production and collections soften.

The ability to keep hygiene patients active and returning over time.

Hygiene retention matters because the hygiene schedule drives recurring visits, diagnosis opportunities, patient relationships, and long-term production stability.

A preventive cleaning procedure, commonly tracked as part of hygiene volume.

Prophy volume helps practices understand preventive hygiene throughput. It should be reviewed with perio percentage so the office does not miss periodontal diagnosis opportunities.

Ongoing periodontal care after active perio therapy.

Periodontal maintenance volume is a key component of perio percentage. Low perio maintenance can signal under-diagnosis, weak patient education, or poor follow-through on periodontal protocols.

A periodontal therapy procedure used to treat active periodontal disease.

SRP volume can help a practice understand whether periodontal disease is being diagnosed and treated appropriately. It should be reviewed with perio maintenance and hygiene production.

The gap between expected hygiene recall demand and actual scheduled hygiene visits.

A recall gap means patients who should be in hygiene are not on the schedule. It can create future production softness and reduce diagnosis opportunities.

Share of presented treatment that the patient agrees to schedule or complete.

Case acceptance measures how much diagnosed or presented treatment converts to scheduled work. It can be measured by dollar value or by case count, and is a direct indicator of treatment presentation and financial-arrangement effectiveness.

Treatment diagnosed and completed in the same visit.

Same-day treatment captures procedures performed on the same day they were presented. High same-day rates correlate with strong diagnostic confidence, schedule flexibility, and patient trust.

The dollar value of a presented, accepted, scheduled, or completed treatment plan.

Case value helps practices distinguish small cases from larger restorative or specialty treatment opportunities. It is useful when reviewing treatment presentation effectiveness and financial arrangement workflows.

Treatment diagnosed and communicated to the patient for consideration.

Treatment presented is the starting point for case acceptance. When measured consistently, it shows how much opportunity the clinical team has identified before scheduling or completion.

Presented treatment the patient agrees to move forward with.

Treatment accepted measures patient agreement. Depending on workflow, it may be tracked by signed plan, scheduled procedures, or completed treatment. The definition should stay consistent over time.

Accepted or planned treatment that has an appointment on the books.

Treatment scheduled is a practical conversion point because it turns diagnosed opportunity into future production. A gap between accepted and scheduled treatment often points to handoff or financing friction.

The share of presented treatment that becomes scheduled or completed work.

Treatment plan conversion is another way to evaluate case acceptance. It helps teams understand whether diagnosis, presentation, financing, and follow-up are converting patient need into care.

Presented treatment accepted or scheduled during the same visit it was diagnosed.

Same-day case acceptance can indicate strong patient trust, clear presentation, and appointment availability. It is especially helpful when measuring urgent, restorative, or limited treatment workflows.

Percentage of available chair time that is actually scheduled with production.

Chair utilization = scheduled production hours / available chair hours. Unused chair time is one of the most expensive forms of waste in a dental practice.

Production attributed to an individual doctor or hygienist over a period.

Provider production breaks total adjusted production down by the clinician who performed the work. It's used for compensation calculations, pod planning, and identifying capacity gaps.

A Key Performance Indicator — a specific number used to measure business health.

A KPI (Key Performance Indicator) is a single number chosen because it reliably reflects whether some part of the business is healthy. Root Data surfaces a focused set of dental KPIs rather than overwhelming you with every possible metric.

The Root Data assistant that watches your KPIs and explains what changed and what to do next.

The AI Coach is Root Data's continuous monitor. It reads your KPI trends, identifies meaningful shifts, explains the probable cause in plain English, and points you to the specific area to review so you can act fast.

Dashboards and KPI reporting built from Open Dental data.

Open Dental analytics means using Open Dental production, collections, appointments, patient, provider, adjustment, and hygiene data to understand practice performance without manually rebuilding reports in spreadsheets.

Recurring reports and performance views generated from Open Dental practice data.

Open Dental reporting helps owners review production, collections, appointments, patients, providers, and billing activity. Root Data adds trend context, KPI definitions, AI explanations, and DSO comparisons on top of that reporting layer.

A visual dashboard that summarizes Open Dental KPIs in one place.

An Open Dental dashboard should show the metrics an owner reviews repeatedly: adjusted production, collections, new patients, hygiene, case acceptance, appointment behavior, and provider performance. Root Data is designed to make those numbers faster to interpret.

A focused view of the most important business performance metrics for a dental practice.

A dental KPI dashboard should help owners see production, collections, hygiene, new patients, case acceptance, and scheduling health quickly. The goal is fewer manual reports and faster operating decisions.

The practice of turning PMS data into business performance insights.

Dental practice analytics connects clinical and administrative data to business questions: Are collections improving? Are new patients retained? Is hygiene healthy? Are providers producing at expected capacity?

Decision-support reporting for dental owners, managers, and DSO operators.

Dental business intelligence combines dashboards, trend analysis, benchmarks, and summaries so leaders can make better operational decisions without manually interpreting every report.

A comparison of one office's KPI performance against the DSO or group average.

Practice-vs-organization comparisons help DSOs find outlier offices, understand where coaching is needed, and identify practices with workflows worth scaling across the group.

A practice performing meaningfully above or below peers on a KPI.

Outlier practices deserve attention because they can reveal either risk or a repeatable operating advantage. A high outlier may teach the group; a low outlier may need intervention.

A comparison point used to evaluate offices inside a group or DSO.

DSO benchmarks help leaders compare offices consistently across production, collections, scheduling, hygiene, and new patient KPIs. Benchmarks are most useful when adjusted for office size and provider mix.

The composition of doctors, hygienists, and other providers producing care in the practice.

Provider mix affects production, hygiene capacity, appointment availability, and case mix. Comparing offices without considering provider mix can lead to misleading conclusions.

The amount of hygiene appointment time available to serve patient demand.

Hygiene capacity depends on hygienist availability, operatory availability, appointment lengths, and recall demand. Capacity shortages can suppress retention and diagnosis opportunities.

How much available operatory time is used for scheduled care.

Operatory utilization helps practices see whether rooms and provider time are being used efficiently. Low utilization can point to schedule gaps, staffing constraints, or demand issues.

The short list of KPIs a team reviews before the day starts.

Morning huddle metrics often include scheduled production, open chair time, unscheduled treatment, new patients, hygiene opportunities, and collection priorities. The goal is action, not a long report review.

A plain-English explanation of a meaningful KPI change or opportunity.

An AI insight should connect a metric movement to a possible operational reason and next area to inspect. In dental analytics, useful insights focus on production, collections, hygiene, scheduling, and patient retention.

A recurring summary of the most important KPI movement from the prior week.

Weekly performance summaries help owners and managers see what changed without opening every report. They are most useful when they highlight both movement and likely next actions.

A comparison of a KPI against the prior comparable period.

Period-over-period comparison shows whether performance is improving or slipping. Common examples include this month vs. last month, this quarter vs. last quarter, or the current period vs. the same period last year.

An average calculated across a moving window of time.

Rolling averages smooth out daily noise and help operators see the real trend. They are useful for KPIs like collections ratio, show rate, production per visit, and hygiene reappointment.