Booking confirmation
Sent the instant the booking lands. Patient name, clinic, branch with address, doctor, and appointment time in the clinic's local timezone.
AI features in detail
Every place AI does the heavy lifting.
Medrita's AI runs across the full clinic workflow — from a patient describing symptoms on the booking site, to a doctor finishing a clinical note by voice. Here's exactly what each AI feature does and what it saves you.
01 — AI scheduling
Slots that match how your doctors actually work.
You set initial slot durations during onboarding. Then Medrita measures: how long does each doctor actually take per patient, by visit type, by time of day? After a few hundred consultations, it suggests slot durations and buffer times that match reality.
- Learns per doctor, per visit type, per time-of-day
- Suggests slot duration, buffer, and max-per-slot tweaks
- Flags overbooked windows before they cause patient wait times
- Always a suggestion — never auto-applied without admin approval
Schedule insight
Dr. Priya Singh · last 90 days
Configured slot
15 min
AI suggestion
18 min · 5 min buffer
avg actual: 17m 12s · 73% over-run rate
02 — No-show prediction
Turn lost slots into kept appointments.
Industry average no-show rates are 20–30%. Every booking gets a no-show risk score based on the patient's history, lead time, time of day, weather, and 20+ other signals. Reception sees the top risks each morning and can call ahead.
- Per-booking risk score: Low / Medium / High
- Top-5 morning list — focused on what matters today
- Auto-escalates reminder cadence for higher-risk patients
- Tracks accuracy weekly — model improves with every visit
Today's risks
Reception · morning queue
09:30
HIGH
Anjali Patel
2 prior no-shows · booked 6 hrs ago
10:00
MED
Vikram Sethi
1 prior cancellation · 8 AM slot
11:30
LOW
Ravi Sharma
Regular patient · always shows
03 — AI prescription assistant
A second pair of eyes on every prescription.
When a doctor opens the prescription builder, Medrita's AI is already working: suggesting medicines from the doctor's own prescribing patterns, auto-filling dosage by patient age and weight, and cross-checking against allergies and existing meds before the doctor signs.
- Medicine suggestions from the doctor's own patterns for similar symptoms
- Dosage auto-fill based on patient age, weight, and medical profile
- Allergy check — flags any conflict with patient's recorded allergies
- Interaction check against any medication the patient is currently on
- Smart follow-up date based on condition and prescription duration
Prescription assistant
Patient: Anjali Patel · Allergies: Penicillin
!
Allergy conflict
Amoxicillin conflicts with patient's recorded Penicillin allergy. Try Azithromycin instead.
i
Dosage suggested
Azithromycin 500mg once daily · 3 days — typical for adult, 60kg.
Suggested follow-up
15 days · 13 June 2026
04 — Voice-to-notes
Talk through the consultation. Notes write themselves.
Doctors tap record. They describe what they see, what the patient says, what they prescribe. Medrita transcribes, then extracts a structured clinical note — symptoms, findings, plan, follow-up — ready for review and one-click acceptance.
- Live transcription during the consultation
- Structured extraction: chief complaint, history, exam, plan
- Auto-attaches to the booking — appears in the patient's record
- Doctor edits anything before accepting. Final version stamped to them.
Generated clinical note
Patient: Mohit Gupta · 12:18 PM
Chief complaint
Right knee pain, 2 weeks, worse on climbing stairs.
Exam
Tenderness on medial joint line. Crepitus on flexion. No effusion.
Plan
Quad strengthening 2× daily. Ice 15 min post-activity. Review in 2 weeks.
Accept
Edit
05 — Patient triage
Right doctor. First time.
On the public clinic website, patients describe what's wrong in plain language. Medrita's AI routes them to the right specialist, suggests appropriate slots, and hands the doctor a structured pre-visit summary — so the first 30 seconds aren't spent re-asking the same questions.
- Plain-language input — no medical knowledge required
- Specialist suggestion based on the clinic's actual doctor profiles
- Red-flag detection — escalates urgent symptoms for direct clinic contact
- Pre-visit summary attached to the booking — visible to the doctor
Triage flow
06 — Plain-English insights
Ask the clinic. Get the answer.
Most clinics never analyse their own data because there's no analyst on staff. Medrita's insights layer lets any admin ask questions in plain English and get an answer with a chart — about bookings, patients, revenue, or doctors.
- Natural-language queries on bookings, patients, revenue, doctors
- Auto-generated charts — bar, line, table — picked by the AI
- Cross-branch comparisons by week, month, quarter
- Pin recurring questions to the admin dashboard
Example queries
"Top 5 symptoms this quarter"
"Bookings by hour of day, last 30 days"
"Which doctor has the most cancellations?"
"New patients per branch, this month vs last"
"Revenue by doctor this quarter"
"No-show rate trend last 6 months"
07 — Auto patient communication
Every patient message, on time, in your voice.
Confirmations. Reminders. Pre-visit instructions. Post-visit care notes. Follow-up nudges. Every patient touchpoint is generated and sent automatically — in your clinic's tone, signed off by the right doctor, and never duplicate.
Reminders
24-hour and 1-hour reminders. Higher-risk patients get extra nudges based on the no-show risk score.
Pre-visit prep
"Bring previous reports", "fast for 8 hours" — automatically generated based on the visit type.
Post-visit care notes
Generated from the doctor's clinical note + the prescription. Written in plain language for the patient.
Follow-up nudges
If the prescription has a follow-up date, the patient gets reminded 2 days before — with a one-click link to rebook.
Brand-consistent tone
Each clinic's voice is learned from sample messages. AI mirrors that tone across every patient touchpoint.
Built on a solid foundation
AI sits on top. The platform underneath is real software.
AI is only as good as the data and the workflow under it. Medrita's core — multi-tenant architecture, role-based access, audit logging, RBAC — is built to enterprise standards.
Multi-tenant & multi-branch
Strict tenant isolation. Doctors and patients shared across branches; bookings and schedules managed per branch.
Role-based access
Admin, Doctor, Associate Doctor, and Receptionist roles. Associate doctors see only their own bookings (row-level security).
MFA & secure sessions
TOTP enrollment, JWT in HttpOnly cookies, backup codes. Login is hardened by default.
Full audit log
Every change — including every AI suggestion accepted — is logged with the actor and field-level diffs.
Branded patient website
Each clinic gets a public website at {slug}.medrita.in or a custom domain. SEO and analytics included.
Per-clinic feature flags
Enable or disable modules (prescriptions, multi-branch, voice notes) per clinic — clean UI for every team.
Ready to go?
Seven AI features. One clinic platform. Get a demo.
30 minutes with real data from your clinic. We'll show you no-show prediction, prescription assist, voice-to-notes — all of it.