Constant over-runs
Your doctor takes 18 minutes but you booked 15. By 11 AM, the day is running late. AI catches this and suggests realistic slot sizes.
AI Scheduling
Slots that match how your doctors actually work.
Most clinic schedules are wrong. You picked a 15-minute slot during onboarding and your doctor consistently takes 18. Medrita measures real consultation times and tunes your schedule to match — so your day runs on time and your doctors don't end up running late.
What it solves
Schedules that bend to reality, not the other way around.
No buffer between patients
Patient B walks in while A is still being seen. AI suggests automatic buffer time based on actual handoff patterns.
Inconsistent across branches
Same doctor takes longer at Branch B (busier reception). AI tunes per-branch overrides automatically.
Time-of-day variability
9 AM consultations run faster than 6 PM ones. AI segments suggestions by morning, afternoon, and evening windows.
Always a suggestion
AI never auto-applies a change. The admin sees the suggestion with the data behind it, then accepts or dismisses.
Live slot generation
Patients booking online see real-time availability — combining schedules, blocked periods, and buffer time, with remaining capacity per slot.
Underneath the AI
A layered availability system.
The AI doesn't replace the rules engine — it tunes it. Medrita's slot generator combines a hierarchy of inputs so the right slots show up at the right time.
- Doctor schedules — weekly working hours per doctor per branch, multiple time blocks per day
- Availability rules — clinic-wide defaults by day of week, with per-branch overrides
- Blocked periods — holidays and leave, one-time or recurring, full-day or specific windows
- Buffer time — automatic gap between patients, expanded around existing bookings
- Per-branch overrides — slot duration, fee, max-per-slot tuned per doctor per location
Rule hierarchy
See it on your data
Watch AI tune a schedule live.
In the demo we'll plug in your doctor's calendar and show exactly what the AI suggests.