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Dental patients not showing up? The patients are not the problem

12 October 2026

A patient books, does not turn up and does not ring. The chair stands empty, the dentist sits idle, and by evening the clinic's owner has an explanation ready: people have become irresponsible. Two more follow close behind — the receptionists can't get through to patients, and the clinic's own phone gets answered about half the time. Vendors have something to sell for all three: a reminder bot and a voice assistant.

We put those three explanations to the test at Bely Kit Dental Clinic. The clinic is invented: three chairs, two receptionists, open Monday to Saturday. Companies like it are what we test our audit agent on, and the agent wrote the report on the clinic's data. Over three months, for 11.4% of appointments the patient neither turned up nor gave notice — 126 appointments a month on average. In the schedule it looks like this: appointments that actually took place fill 65.1% of chair time, and counting the ones patients missed, the schedule is 73.7% full. None of the owner's three explanations survived the check.

Explanation one, "people are irresponsible": thirteen of them were

If people are the problem, the same people should let the clinic down again and again. Over three months, 13 patients out of 2,430 missed an appointment more than once. Every other no-show was a one-off.

Appointments do divide along another line, though. Where the patient was reminded the day before, 5% fail to turn up. Where there was no reminder, 17%. And only 46.9% of appointments are marked as reminded: for more than half its appointments the clinic waits without knowing whether the patient remembers.

With a reminder, 5% do not turn up; without one, 17%. Fewer than half of appointments get a reminder.

One caveat, and the report makes it too: this proves a link, not a cause. An appointment is marked as reminded only when the patient was actually reached, and those may simply be the more reliable patients. So the finding is put to a trial, not taken on trust.

Explanation two, "they can't get through": they do, when they ring

Patients fail to pick up on 7.9% of the clinic's outgoing calls. People answer. What is missing is the time to dial.

There is only ever one receptionist on shift, and she is at the desk all day: greeting patients, registering them, taking payment, issuing documents. The reminder calls for tomorrow get made "when there's time", about an hour a day. Run that way, two groups fall through. Patients who book for the same day or the next get no reminder at all. And Monday's patients need to be called on Saturday, when the reminder calls never get done: 28.6% of Monday appointments get a reminder, and 18.4% are no-shows.

On Saturdays there are not enough hands for incoming calls either: 30.6% are missed, all day long. Expecting the receptionist to make Monday's reminder calls on top of that means expecting her to be in two places at once.

From the inside none of this shows, for a simple reason. The owner sees an empty chair on Monday morning and the name of whoever did not come. The Saturday call that was never made stays out of sight: in the booking system, "not called" and "no answer" look the same.

Explanation three, "nobody picks up": true for four hours a day

During opening hours the clinic misses 19.3% of incoming calls. That is the number the voice assistant is sold on. But it is an average, and hour by hour the picture changes: from 9:00 to 11:00 and from 17:00 to 19:00, 31.6% of calls go unanswered; at other times, 8.2%. Those four hours account for 77.5% of all missed calls.

They are the hours when the receptionist is tied up at the desk. One person cannot take a payment and talk on the phone at the same time. Calls are seldom returned afterwards: 6.1% of missed calls within an hour, 39.2% the same or the next working day. About 171 calls a month get no call back, and the caller does not get through on a later attempt either. The clinic has no call-back rule.

The promise that the assistant "answers everything itself" is worth taking apart too. About a third of the calls in our example are medical questions. The assistant hands those over to a person — that is, to the same receptionist at the same desk.

Take the bot for a month; leave the voice assistant for now

Of the two offers, one fits this case. The reminder bot closes exactly the gap the data showed. On the invented clinic's terms it costs 30,000 tenge a month plus 50,000 tenge to set up. It is worth taking for a one-month trial and judging on a single number: the no-show rate, currently 11.4%. Before any money changes hands, the vendor confirms that the bot can connect to your booking system.

The voice assistant — 60,000 tenge a month plus 200,000 tenge to set up — is not needed now. What costs nothing comes first: a rule that every missed call is returned. The time for it appears once the bot takes over the reminder calls, which is about 26 hours a month. If a third of calls are still being lost at peak times a month later, there are two options to compare: the assistant, and a second receptionist for the peak hours at 90,000 tenge a month. They deliver one and the same benefit; you do not need both.

Two steps are free and come before any purchase. Call Monday's patients on Friday. In the reminder field, distinguish "not called" from "no answer".

One thing these numbers do not contain is what a no-show costs in money. That needs the accountant's figure for what the clinic keeps from an appointment, and a record of whether the patient rebooked. Until that sum has been done, the bot's payback period is a guess, whoever is making it.

Three numbers a clinic can pull from its own software today

1. How many patients missed twice. Export three months of appointments from the booking system, filter by "no-show" status and count per patient. If the repeat cases are a handful among thousands, like 13 out of 2,430, the "that's just how people are" explanation can be closed. If there are many, your case is not the one in our example.
2. The share of appointments marked as reminded — overall and by day of the week. The same export, the reminder field. Two things are warning signs: fewer than half of appointments carry the mark, and one day is far worse than the others. In the example that day is Monday: 28.6% against 46.9% overall. While you are there, compare the no-show rate with the mark and without it. If your software has no reminder field at all, that is your first finding.
3. Missed calls by hour. A report in your phone system's account, broken down by hour of the day, and next to it how many missed calls were returned. Look out for three-quarters of the missed calls bunched into two to four hours, like the 77.5% in the example. In that case the clinic is not short of technology; it has one person tied up at the desk, and the place to start is a call-back rule.

All three need only an export from the booking system and the phone system's account; no new service is required. After that you can talk to a bot vendor in specifics: here is our no-show rate, here is the day it is highest, and in a month we compare.

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