

Rob spent years inside large dental service organizations as a systems architect, watching clinics leave millions on the table through preventable revenue leaks. After advising 50+ clinic owners across dental and allied health and participating in multiple M&A processes, he saw the same patterns repeat across physio, chiro, massage, and acupuncture practices. He built Caretrics to automate what clinic owners were doing manually.

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Clinic-wide no-show rates hide a lot. Two clinics with the same 9 percent rate can have very different problems: one might have a single provider sitting at 18 percent dragging the average up, the other might have an even spread that points to a clinic-wide systemic issue.
This guide is the diagnostic that comes after the four other tools in the Jane.app No-Show Reduction Toolkit. Once reminders, policies, credit-card-on-file, and waitlists are in place, this is how you find what is left.
In Jane: Reports → Appointments → Scoreboard.
For each provider, divide their no-shows by their total scheduled appointments in the same window. Example:
| Provider | Appointments | No-shows | Rate | Read | |---|---|---|---|---| | Dr. Smith (DC) | 280 | 12 | 4.3% | Healthy | | Jane (RMT) | 240 | 38 | 15.8% | Investigate | | Sarah (PT) | 180 | 11 | 6.1% | Watch |
Reference rates for allied health Jane clinics:
The single most common mistake is jumping straight to "train the provider on rapport." That fixes the wrong root cause about half the time. Run these four diagnostics first.
Does this provider have inconvenient slots, like 7am, 7pm, or Saturday-morning-only? Inconvenient timing inflates no-shows independent of who the provider is. Pull a heatmap of the no-shows by time of day. If they cluster at the inconvenient slots, the fix is the schedule, not the provider.
Are the no-shows mostly new patients (lower commitment) or returning patients (relationship issue)? In Jane, segment the no-show CSV by visit number. New-patient no-shows are typically a credit-card-on-file problem. Returning-patient no-shows are typically a relationship or rapport problem.
Some providers personally call new patients before their first visit. Others do not. The clinics with very low new-patient no-shows almost always have a confirmation call habit. Compare your provider's confirmation cadence to the clinic average.
Only after the first three are ruled out. If a provider has higher no-shows across all time slots, all visit numbers, and all confirmation flows, then it is a relationship issue. The fix is coaching on patient rapport and end-of-visit rebooking.
Once you know which root cause is in play, the fixes are specific:
| Root cause | Fix | |---|---| | Schedule timing | Move or eliminate the bad slots; reroute high-no-show times to virtual or admin work | | New patient mix | Require credit card on file for that provider's new bookings | | Confirmation gap | Add a 48-hour call from the provider (or front desk) for that provider's new patients | | Rapport | One-on-one coaching with the clinic owner; review patient feedback and rebooking rates together |
Run this analysis monthly, not quarterly. A 30-day delay turns a fixable provider problem into a 90-appointment hole in your revenue.
This is also the single most useful "operations conversation" a clinic owner can have with each provider, because the numbers are specific and the root-cause diagnosis is real instead of speculative.
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