Established practice
Your operational data exists but it's not being used to demonstrate demand, identify growth opportunities, or make the case to investors and commissioners
Most healthcare organisations collect more data than they use. Appointment systems, billing platforms, and referral records all generate signals about demand, profitability, and referral quality that could drive better commercial decisions but typically sit unexamined. The cost is missed growth and mispriced services.
- steps
- 7
- steps
- to start
- 1 hour
- to start
The short answer
Your PMS and billing system already hold the answers to most commercial questions: which services make money, which referrers send the most valuable patients and where capacity is wasted. The problem is that nobody pulls it into one view each month. Start with ten measures, one spreadsheet and a 45-minute monthly review, and make one decision from it each time.
7 steps
Do it yourself: step by step
0 of 7 done
List the commercial questions leadership keeps debating, for example which service to grow, which consultant to recruit, whether to raise a fee, which referrers to visit. Each needs at least one measure.
- Time
- 1 hour
- Typical cost
- £0
- Who does it
- Clinic owner with practice manager
Done when: You have five questions on one page, each linked to a measure
This problem is Solvable.
Copy this table
Ten-measure monthly commercial dashboard
Free to copy, adapt and use. No sign-up.
Monthly commercial dashboard: [Clinic name], [Month]
| # | Measure | How to calculate | Where the data is | This month | 12-month average | Decision it informs |
|---|---|---|---|---|---|---|
| 1 | Income by service line | Sum of invoiced income per service | Billing system | What to grow or cut | ||
| 2 | Contribution per clinical hour | (Income minus direct costs) ÷ booked clinical hours, per service | Billing + PMS + cost sheet | Where to put room time | ||
| 3 | Room or equipment utilisation | Booked hours ÷ available hours, per room | PMS diary | Timetable changes | ||
| 4 | New patients by referral source | Count of first appointments by source | PMS | Where to spend marketing and GP time | ||
| 5 | Income by referral source | Income from patients first referred by each source, 12 months | PMS + billing | Which referrers to visit | ||
| 6 | Enquiry to booking conversion | First bookings ÷ enquiries logged | Enquiry log + PMS | Reception training, response speed | ||
| 7 | DNA and late cancellation rate | DNAs + cancellations under 48 hours ÷ booked appointments | PMS | Reminders, deposits | ||
| 8 | Debtor days | Outstanding debt ÷ average daily income | Billing | Billing follow-up | ||
| 9 | Payer mix | % income from self-pay and from each insurer | Billing | Pricing and insurer exposure | ||
| 10 | Income per consultant | Income generated through the clinic per consultant | Billing | Consultant support and recruitment |
Monthly review agenda (45 minutes)
- What moved most since last month and why (15 min)
- One commercial decision this month (20 min)
- Owner and date for the decision (5 min)
- Any data quality problems to solve (5 min)
Decision this month: [ ] Owner: [ ] Review date: [ ]
Avoid these
Common mistakes
- Building a 40-metric dashboard nobody reads instead of ten measures that drive decisions.
- Leaving referral source as an optional free-text field, so the most valuable analysis is impossible.
- Looking at income per service and ignoring direct costs, which hides loss-making services.
- Commissioning a BI tool before the underlying data has been cleaned.
- Reviewing the numbers without recording a decision and an owner.

Free personal check
Done by Paul Robinson, not software
Answer eight quick questions and I'll show you which decisions your data could already answer
What I need from you
- Eight tap answers about your reporting
- Your PMS and billing system names
What you get
- Where your reporting falls short
- The ten measures to start with
- The three decisions to tackle first
Within 2 working days
No sign-in, no sales call. I read every request myself and reply on WhatsApp.
Free tools
Check where you stand
Benchmarks
5 to 15% of income
Value of mix, pricing and utilisation changes a clinic may find in its first year of reviewing data monthly (Solvable estimate: for example moving a tenth of room time to work with twice the contribution per hour)
Solvable estimate

Paul Robinson
14 years in UK private healthcare
I solve this one for clinic and hospital teams
Want a hand? I'll look at your situation and tell you the three things I'd tackle first.
A few quick questions, about two minutes. I read every one myself and usually reply the same day.
No sales call unless you ask for one. Just a straight answer from me.
I reply personally, usually the same day.
Questions
Frequently asked questions
We do not have a finance person. Can we still do this?
Yes. A practice manager with a spreadsheet can build the ten measures in two days. Bring in an accountant only for service costing.
Our PMS reporting is poor. What then?
Export the raw data and work in a spreadsheet. If you cannot export appointments with status and referral source, that is a reason to review your PMS.
How do we cost consultant time?
Use what the clinic actually pays or retains per session, not the consultant's private fee.
Should we share the dashboard with consultants?
Share the parts about their own activity and referral sources. Their own numbers give you a factual start to the conversation.
How often should we review it?
Monthly for decisions, quarterly for strategy. Weekly is usually too noisy.
Last reviewed:
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