What is a no-show? Why no-shows hurt and how to prevent them

Many organisations rely on scheduled appointments, particularly healthcare providers such as hospitals, dental practices and mental health services. A no-show occurs when a patient misses an appointment without cancelling in advance.

This article explains what no-shows are, why they happen, how they affect healthcare organisations and what you can do to reduce them.

What does no-show mean?

A no-show is an appointment where the patient does not turn up without cancelling in advance. This happens more often than many people think. In healthcare, no-shows are a common problem for dentists, GPs, physiotherapists, mental health providers and hospitals. But no-shows also happen in other sectors, such as restaurants or hairdressers.

Examples of a no-show

  • A patient has a dental appointment but doesn't show up, without calling or emailing.
  • A client of a psychologist doesn't cancel and simply doesn't turn up.
  • A hospital patient forgets a follow-up appointment, so the specialist keeps time free for nothing.

Every missed appointment means lost time, capacity and revenue. It often also means longer waiting times for other patients, some of whom already have to wait 3 months before they can see a doctor.

How a no-show differs from, and resembles, a “late cancellation”

A no-show is not the same as a late cancellation. With a late cancellation the patient does let you know they can't come, but only shortly before the appointment. We count a cancellation within 24 hours of the appointment as late. In that case it is often too late to give the slot to another client. That is why late cancellations are often treated as no-shows too.

Why do no-shows happen?

There are many reasons why people miss an appointment. Research shows it is rarely unwillingness. Practical, psychological or communication factors usually play a role.

1. Forgetting or insufficient reminders
The most common reason. Patients forget their appointment, especially if it was booked weeks in advance. Think of an annual dental check-up, for example. We see this happening mostly to younger and older people, who sometimes find managing their own schedule harder. A lack of reminders can also contribute to no-shows. Most organisations do send some form of reminder, and that helps. But a single SMS or email is often not enough.

2. Anxiety or financial reasons
Especially with dental or mental health appointments, anxiety or money can play a role. Patients avoid the appointment or cancel at the very last moment instead of actually cancelling in time. That way they avoid facing their anxiety or the cost of the treatment. For your organisation this is a waste, because a late cancellation still means the slot can no longer be filled by another patient. As a result you can help fewer clients, and you miss out on revenue. Whether a client is insured or not plays a role here, and if this data is available it can be included in the AI model.

3. Logistical problems
Traffic, no childcare, or delays on public transport can lead someone to decide not to go after all. Although this is often given as a reason, in practice it is less often the cause of no-shows. This was established with the noshowsvoorspellen.nl AI model, which looks at patterns in no-shows. Traffic and weather are not significant factors.

4. Illness or sudden circumstances
Sometimes someone is genuinely ill or has to work unexpectedly, and forgets to let you know. In these cases it is understandable that the appointment doesn't go ahead. But it is still a shame that the time can no longer be used for another patient. This category of no-shows is hard to prevent, and it is why no-show prediction can never be 100% accurate.

What does a no-show cost your organisation?

No-shows are often treated as isolated incidents, but their financial and operational impact can accumulate over time. In appointment-based organisations, this loss can build up day after day without being clearly measured or reported. As a result, many organisations lack a reliable picture of the capacity and revenue affected. The costs are often large, because they directly affect revenue.

For many organisations, costs are fixed: the building is rented, staff have to be paid and the equipment is ready. When a client doesn't turn up, those costs remain, but no revenue comes in. A no-show therefore means a direct loss of income while expenses continue.

Worked example:
Suppose you schedule 100 appointments, but 20 patients don't turn up. You have to reschedule those 20 appointments to help the same 100 patients. That means you effectively need 120 appointments to help 100 patients. In this example you lose the revenue from 20 appointments. Depending on the average price per appointment, this can add up quickly. At €100 per appointment, you lose €2,000 in revenue. We see that some organisations have thousands of no-shows a year, which can add up to millions of euros in lost revenue.

See how much revenue you lose each year

How can you prevent no-shows?

There are several ways to reduce no-shows. Some are easy to apply, others call for a smarter approach. With the right combination of reminders and predictive AI you can reduce no-shows structurally.

1. The basics: reminders
A good first step is sending automatic reminders by SMS or email. This can reduce the number of no-shows, but in practice I also see that it is often not enough. A clear explanation of your cancellation policy also helps reduce no-shows.

2. Charging for no-shows
Some organisations choose to charge for no-shows. This can act as a deterrent and lower the number of no-shows. But be aware that there are downsides too. In some cases clients see it as a reason not to report a no-show. Some patients may be less inclined to cancel if they expect to be charged regardless of whether they notify the organisation. And it often leads to a lot of hassle and disputes about the invoice. So it can work, but it is not my favourite solution.

3. Overbooking
Another approach is overbooking appointments. You schedule more appointments than you can actually handle, expecting some clients not to show up. Airlines do this regularly, for example: they sell more tickets than there are seats because they know some passengers won't turn up. This can work, but it is also risky. If there are fewer no-shows than expected, it can lead to overcrowded waiting rooms, longer waiting times and a poor client experience. Ideally, you would know who is not going to turn up, so you only overbook those appointments. And a share of no-shows certainly is predictable.

4. Phone reminders
Besides SMS and email, a phone reminder can also help reduce no-shows. Research shows that a personal approach, such as a phone call, can be more effective than an automated reminder. The downside is that calling every client takes a lot of time. That is why some organisations only use it for appointments that bring in a lot of revenue or take a lot of time, such as surgery or an extensive treatment. If you know which appointments have a higher no-show risk, you can make this approach even more effective. You no longer need to call everyone, only the appointments most likely to become no-shows.

Frequently asked questions (FAQ)

What is the difference between a no-show and a cancellation?
A no-show is an appointment where the patient doesn't turn up without letting you know in advance. With a cancellation the patient does let you know they can't come, usually in time to give the slot to someone else. A no-show causes a direct loss of revenue and time, while a cancellation is usually easier to absorb, as long as the cancellation happens within a reasonable time. Most organisations count a cancellation within 24 hours of the appointment as late, and treat it as a no-show too. This means it is crucial to rebook slots freed up by earlier cancellations, so you can still use the time for another patient. Otherwise you still face lost revenue.

What is a typical no-show rate?
This differs per sector and organisation, but on average no-show rates are between 5% and 30%. In healthcare, for example at GPs and dentists, it is often between 10% and 20%. In hospitals you often see no-show rates between 5% and 10%, with large differences between outpatient clinics. Dermatology and ophthalmology appointments in particular often have higher no-show rates than, for example, oncology appointments. In mental health care, no-show rates of up to 30% are not unusual.

What makes most people not turn up?
Most studies into no-shows produce few concrete insights, because people are often not honest about why they didn't show up. Previous project data indicates that several factors can be associated with a higher likelihood of a no-show. The most important are:

  • Previous no-shows: people with more no-shows are more likely not to turn up
  • Age: older and younger people miss appointments more often
  • Duration of the appointment
  • Time of the appointment
  • A long time between booking the appointment and the appointment itself
  • Distance to the practice or location
  • Type of appointment: some appointments have more no-shows than others
  • Type of referral
  • Level of insurance coverage

These insights can be used to estimate no-show risk and help teams prioritise follow-up.

Conclusion

No-shows are not an incidental problem, but a structural financial leak. In organisations with scheduled appointments this loss builds up every day, without being explicitly visible in reports. Experience at several healthcare organisations shows that a relatively small reduction in no-shows quickly leads to a measurable financial effect, precisely because the volume is large and the loss accumulates. The first step is to quantify the impact for your organisation.

How much revenue does your organisation lose to no-shows each year?

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