Most clinic owners review revenue at month-end — by which time it's too late to course-correct. ClinIT's live analytics dashboard surfaces the 12 metrics that matter, updated in real time.
Why Real-Time KPIs Change Clinic Behaviour
A clinic owner who looks at revenue once a month is flying with a 30-day lag. By the time a no-show spike or a billing bottleneck appears in the monthly P&L, weeks of recoverable opportunity have already passed.
ClinIT's analytics dashboard is designed for a 5-minute weekly review — enough to catch trends early.
The 12 Metrics
Operational
- Appointment completion rate — booked vs. actually attended. Target: ≥85%.
- No-show rate — broken down by doctor, day of week, and service type.
- Average wait time — time between scheduled start and actual consultation start.
- Daily capacity utilisation — appointments filled vs. total available slots.
Clinical
- New vs. returning patient ratio — a sustained high new-patient proportion can indicate poor retention.
- Average visits per patient per year — a proxy for patient engagement and chronic-disease management quality.
- Referral source breakdown — walk-in, website, WhatsApp campaign, patient referral.
Financial
- Revenue per appointment — average invoice value, by doctor and by service.
- Collection rate — invoices paid vs. total invoiced (catches billing leakage).
- Outstanding receivables — unpaid invoices older than 30 days.
- Insurance claim acceptance rate — rejected claims are a major hidden cost.
- Revenue by branch / doctor — identifies star performers and underperformance.
Date Range & Drill-Down
All metrics are filterable by custom date range or preset (today, this week, last 30 days, last quarter, year-to-date). Clicking any metric drills into the underlying records — e.g., clicking "no-show rate" shows the individual missed appointments for that period.
Scheduled Reports
The owner can subscribe to a weekly email digest containing the 12 KPIs in a clean table. The digest is sent every Monday morning and includes a sparkline showing the trend against the previous period.
Exporting
All dashboard views can be exported as PDF (for board presentations) or CSV (for Excel analysis). The CSV includes raw rows, not aggregates, so custom pivot analysis is straightforward.
