Most clinic dashboards show revenue, appointment count and a graph going up. All three are real, and none of them tells you what to do on Monday. A number is worth watching only if you can name the decision it would change.
Here are six that pass that test, in the order they usually matter. Each one is computable from a schedule and an invoice ledger, which is to say from data every clinic already has, whether or not anything is currently adding it up.
Chair utilisation
The share of your available time that was actually booked. Not attended — booked. This is the ceiling everything else sits under: a clinic running at 60% has a capacity problem no efficiency change will fix, and one running at 95% has a bottleneck it should be pricing for.
utilisation = booked minutes ÷ available minutesCount available minutes from working hours minus the blocks you deliberately keep empty — admin time, lunch, the slot held for emergencies. If you count those as available you will chase a number you never intended to hit.
Compute it per clinician and per room separately. The clinic average hides the case that matters: one person at 95% and one at 45% averages to a healthy-looking 70% and describes neither.
No-show rate
The share of booked appointments where nobody arrived and nobody cancelled in time to give the slot away. It is the difference between the capacity you sold and the capacity you delivered, and it is the fastest number to move.
Count cancellations separately. They look like the same loss on a calendar and they are the opposite problem: a cancellation two days out is a slot you can refill, and a rising cancellation rate alongside a falling no-show rate is usually a sign something is working. The mechanics of moving this one are a subject of their own.
Revenue per hour, not per appointment
Per appointment is the figure people quote and it misleads whenever your appointments differ in length. A €200 procedure that takes ninety minutes earns less per hour than three €60 consultations, and a clinic optimising the wrong one of those two fills its diary with the expensive-sounding work.
Example
The same month, two ways of looking at it
- Procedure A: €200, 90 minutes → €133/hour
- Procedure B: €60, 20 minutes → €180/hour
- By appointment value, A wins by more than three times
- By the hour, B is the better use of the room
This does not mean stop doing A. It means know which one you are choosing when the diary is full, and price A accordingly rather than assuming it is carrying the clinic.
New versus returning patients
Two clinics with identical revenue can be in completely different health. One is seeing the same people come back; the other is replacing everybody every year and paying to do it.
Track the split monthly. A rising share of new patients is good news only if the returning count is holding — if new is up and returning is down, marketing is refilling a bucket with a hole in it, and the hole is cheaper to fix.
What counts as "returning" depends on your speciality and you have to pick a definition and keep it. Twelve months is a reasonable default for general practice; for anything with a natural recall interval, use that interval instead.
Time to third available appointment
How many days until your third free slot, not your first. The first is often a cancellation nobody has taken yet, which makes it a measure of luck. The third is a measure of how long a patient who calls today will actually wait.
It is the number patients feel, and the one that decides whether the person who could not get in this week goes somewhere else. Read it weekly. If it is climbing while utilisation is flat, you have a scheduling problem rather than a demand problem.
Money owed, by age
Not the total — the age. €10,000 outstanding where most of it is two weeks old is a normal week. The same €10,000 where most of it is four months old is a collection problem you have already partly lost.
| Age | What it usually means | What to do |
|---|---|---|
| 0–30 days | Normal | Nothing |
| 30–60 days | Somebody forgot | One reminder, friendly |
| 60–90 days | A dispute or a hardship | A conversation, not a letter |
| 90+ days | Increasingly unlikely to arrive | Decide, and stop carrying it as an asset |
The point of the ageing view is that it prompts an action at each stage. A single outstanding-balance figure prompts nothing except mild anxiety once a month.
Numbers that mostly make you feel busy
| Popular metric | Why it disappoints | Watch instead |
|---|---|---|
| Total appointments | Rises when you shorten slots, falls when you take on longer work | Utilisation |
| Total revenue | A monthly total hides which work produced it | Revenue per hour, by service |
| Website visits | Traffic is not demand until it books something | Bookings from the site |
| Average rating | Moves too slowly to act on, and rarely tells you what to change | What recent reviews actually say |
| Patients on file | Only ever goes up, including people who left in 2019 | Patients seen in the last 12 months |
None of these is false. They are just answers to questions nobody asked, and a dashboard full of them is a dashboard that gets glanced at rather than used.
How often to look
Matching the review interval to how fast a number can actually move is most of the discipline here.
- Weekly — time to third available appointment, and next week's gaps. Both are still actionable at this range.
- Monthly — utilisation, no-show rate, new versus returning, receivables ageing. A week of any of these is noise.
- Quarterly — revenue per hour by service. This is the one that changes what you offer and how you price it, and that is not a monthly decision.
Pick three to start, not six. A clinic that begins watching six numbers at once watches none of them by March. Utilisation, no-shows and receivables ageing between them cover capacity, delivery and cash, which is enough to run on.
Common questions
- What is a good chair utilisation rate?
- It depends on how much slack the work needs, so a borrowed benchmark will mislead you. What is generally true: below about 60% you are paying for time you are not selling, and above about 90% you have no room to absorb an overrun or fit in an urgent case, which patients feel as inflexibility. Your own figure last quarter is the comparison worth making.
- How do I measure any of this without an analytics module?
- A spreadsheet and one hour a month will produce all six. Export the month's appointments and the month's invoices, and the calculations are additions and divisions. Doing it by hand once is also the best way to find out whether the number is worth automating.
- Should I track patient satisfaction?
- Yes, but not as a number on a dashboard. An average rating moves too slowly to act on and compresses the useful part — what people actually said — into a decimal. Read the comments, count the themes, and act on the theme that appears three times.
- How long before a change shows up in these?
- A month for anything about attendance or scheduling, a quarter for anything about the mix of work you take on. Judging a change after a week means judging normal variation, and the usual outcome is abandoning something that was working.
Read next
Six numbers, already added up.
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