## 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 1. **Appointment completion rate** — booked vs. actually attended. Target: ≥85%. 2. **No-show rate** — broken down by doctor, day of week, and service type. 3. **Average wait time** — time between scheduled start and actual consultation start. 4. **Daily capacity utilisation** — appointments filled vs. total available slots. ### Clinical 5. **New vs. returning patient ratio** — a sustained high new-patient proportion can indicate poor retention. 6. **Average visits per patient per year** — a proxy for patient engagement and chronic-disease management quality. 7. **Referral source breakdown** — walk-in, website, WhatsApp campaign, patient referral. ### Financial 8. **Revenue per appointment** — average invoice value, by doctor and by service. 9. **Collection rate** — invoices paid vs. total invoiced (catches billing leakage). 10. **Outstanding receivables** — unpaid invoices older than 30 days. 11. **Insurance claim acceptance rate** — rejected claims are a major hidden cost. 12. **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.