Modeled Dental scenario
Refilling the chair that just cancelled
Starting assumptions
- 18.4%No-show rate
- 31%Treatment plan acceptance
- RareSame-day slot backfill
Illustrative modeled outcome
- 12.7%No-show rate
- 68%Treatment plan acceptance
- 61%Same-day slot backfill
The challenge
the modeled business had been told by two previous consultants that an eighteen percent no-show rate is simply what general dentistry looks like. It is not. Their reminder sequence was a single email sent seven days out, which is far enough ahead that patients forget again before the appointment. Separately, roughly seven in ten accepted treatment plans were never scheduled, and nobody owned the follow-up because the front desk was busy and the clinicians assumed it was handled.
The approach
Reminders rebuilt around when people actually forget
We replaced the single seven-day email with three touches: a confirmation at booking, an email two days out, and an SMS two hours before with one-tap reschedule. Making rescheduling easy sounds like it should increase cancellations. It reduced no-shows, because the alternative patients were choosing was silence.
A waitlist that queries itself
Patients wanting an earlier slot are flagged at booking. When a cancellation lands, the system texts that list in order of how long each has waited, then withdraws the remaining offers the moment someone accepts.
Treatment follow-up sequenced by case value
A declined crown and a declined implant case need different rhythms and different arguments. We built separate tracks keyed to case value and clinical urgency, each leading with the consequence of waiting rather than with a discount.
Review requests tied to the right visit
Requests now fire after the appointment where treatment completed rather than after every visit, which lifted both response rate and average rating.
The outcome
No-shows fell by nearly a third within six weeks. Treatment plan acceptance more than doubled, which the practice owner valued at roughly a hygienist salary in recovered chair time over the following year. Same-day cancellations now backfill without anyone picking up a phone.
Other builds
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Modeled Med Spas scenario
An AI agent that books consultations at 11pm
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