Almost every clinic starts in Excel or Google Sheets, and for a while it genuinely works. This is an honest account of where it stops working, and what actually changes when you move.
Spreadsheets are not a bad tool. They are the most flexible software ever made, and a single-site clinic with one person doing the numbers can run a perfectly good practice on them for years. The problem is not capability — it is that a spreadsheet reports the past, depends on one person remembering to update it, and quietly stops reflecting reality the moment the clinic gets more complicated than the sheet. Most owners do not notice the moment it happens. They notice six months later, when two branches report the same number differently and nobody can say which is right.
The core issue is not accuracy — a careful practice manager keeps a very accurate sheet. It is latency. A number compiled on the 8th describes a month you can no longer influence. Every decision made from it is a decision about history.
In most clinics one practice manager owns the file, knows which tab means what, and has quietly built a set of conventions nobody documented. That works until they go on leave, or leave altogether. It is a genuine operational risk that almost nobody prices.
Spreadsheets tell you what happened. Operations need what is happening.
The gap between those two sentences is where most clinic revenue quietly leaks — not through fraud or incompetence, but through latency.
No. Spreadsheets remain excellent for modelling, one-off analysis and anything ad hoc. What they are poor at is being the permanent, shared, always-current record of how a clinic is performing. Drapto handles that part, and everything exports if you want to model on top of it.
Possibly not. If one person compiles the numbers, the owner trusts them, and there is only one location, a spreadsheet may genuinely be enough. The usual trigger points are a second branch, a third doctor, or the first time two reports disagree.
Yes. Nothing stops you exporting from Drapto and continuing to model in Excel. The difference is that the underlying numbers stop being maintained by hand.
Not the analysis — the assembly. Pulling figures from billing, chasing branch managers for their file, reconciling formats and fixing broken formulas typically consumes far more hours per month than the thinking that follows it.