Catchment

Where your patients actually come from

Most clinics can describe their catchment area from memory and are usually wrong about it. The addresses are already on the records. Plotted, they tell you where to advertise, where a second branch would work, and which patients are travelling further than they should have to.

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Patient densityRiyadh · last 12 months

Patients by area

Al Olaya412$286k

Al Malqa268$171k

Al Narjis195$118k

Hittin143$96k

Revenue by treatment

Dermatology$214k

Physiotherapy$163k

Aesthetics$116k

Nutrition$67k

Most common treatment in Al Olaya: dermatology

The map you already have the data for

Every patient record carries an area. Together they are a map of where the clinic actually draws from, rather than where you assume it does.

Patients plotted by district and city
New against returning, so growth is separable from loyalty
Per branch, so two locations can be compared honestly
By specialty, because dermatology and physiotherapy travel differently
Over time, so a shift shows up as a shift

Patient addresses plotted on the map in Medicolize, clustered by area around the clinic

Which areas are worth the money

An area that produces a lot of first visits and no second ones is not a good area. The map is weighted by what happened after the first appointment.

Areas ranked by courses completed, not by visit count
Average value per patient by area
Which areas produce the specialties you want more of
Campaign spend compared against the areas it reached
Where patients come from who never come back

And which branch they should be at

In a group, the interesting number is how many patients are travelling past one of your own branches to reach another.

Patients travelling past a nearer branch
Catchment overlap between branches, measured
Underserved areas with demand and no location
Load that could be moved between branches
Evidence for a second location, or against one

Who uses the catchment

This is a planning number, but it changes what three different people do next week.

Marketing

Where to spend, and where spending has produced nothing.

Managers

Which patients are travelling further than they need to.

Owners

Evidence for or against another location.

A guess about the catchment versus the addresses you hold

Both describe where patients come from. One of them is checkable.

The way it is done now

Catchment described from memory
Areas judged by visit count
Ad spend by district, untested
Branch overlap assumed
A second branch on instinct

With Medicolize

Plotted from the records
Judged by courses completed
Spend compared against what it produced
Overlap measured
A second branch on demand data

Questions

Catchment — what clinics ask

Where does the location data come from?

The addresses already on your patient records. Nothing extra is collected and nothing is asked of the patient that you do not already ask.

Is it per branch?

Yes, and the comparison between branches is the useful part — particularly the patients travelling past one of your locations to reach another.

Can we see it by specialty?

Yes. A dermatology patient will travel further than a physiotherapy patient who is coming twice a week, and averaging the two together hides both.

Does it tell us where to open next?

It tells you where there is demand you are already serving at a distance, which is the evidence a decision like that should rest on. The decision is still yours.

Is patient location data handled carefully?

It is part of the patient record, so the same per-role access applies. The map is an aggregate view; opening an individual record still requires the permission to do so.

Keep going

Put Catchment in front of your own week

Half an hour on your own services, packages and price list. Someone calls you back within a day.

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