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Geta.ai
Healthcare

More Appointments. Fewer No-Shows. Better Patient Outcomes.

AI books appointments 24/7, automated reminders cut no-shows by 58%, and care coordinators respond with full patient context every time.

Trusted by Healthcare teams atMedCare Clinics·HealthFirst Network·Apollo Wellness·CureCentre

The Healthcare challenge

Why patients don't show up and how to fix it

Booking friction, reminder gaps, and lack of patient context — the three operational failures that fill empty appointment slots.

The challenge

Appointment booking is slow and fragmented

Patients call during business hours, wait on hold, and sometimes give up. 30–40% of appointment intent is lost before booking. Every missed call is clinical capacity wasted.

Geta.ai's AI Appointment Agent handles booking, rescheduling, and cancellation 24/7 via WhatsApp or web — patients book in under 2 minutes.

The challenge

No-shows waste clinical capacity

Without timely reminders, 25–40% of appointments are missed in healthcare. SMS alone isn't enough — patients ignore single-channel reminders that arrive days in advance.

Geta.ai sends a multi-step reminder sequence — WhatsApp 48h before, SMS 24h before, automated call 2h before — reducing no-shows by 58%.

The challenge

Care coordinators lack patient context

When a patient calls, coordinators have no visibility into their appointment history, condition, last consultation, or communication preferences. Every interaction starts from scratch.

Geta.ai's Inbox shows every patient's full profile — conditions, appointments, last interactions, preferred channels — beside every message.

AI Appointment Booking

Patients book 24/7. No hold music. No admin.

Most patients give up when they can't get through on the phone. Geta.ai's AI Appointment Agent handles the entire scheduling flow via WhatsApp — department selection, doctor preference, available slot confirmation, and instant booking — 24/7, without any admin involvement. Post-booking, a multi-step reminder sequence fires automatically: WhatsApp 48h before, SMS 24h before, and an automated call 2h before. Two-way confirmation via WhatsApp cuts no-show rates by 58%.

↓ 58%no-show rate with multi-step automated reminder sequences
app.geta.ai
PS

Priya Sharma

Cardiology · Dr. Mehta
Thu 24 Apr
2:30 PM
Patient confirmed· No-show risk: Low 🟢
app.geta.ai
RV
Rohan VermaAge 42
Cardiology patient
Active
Last visitMar 12
Next apptApr 24
Compliance94%

Recent Interactions

Post-visit follow-up call completed

Mar 12

Lab results sent via WhatsApp

Mar 15

Medication reminder email opened

Mar 20
Active patient · High engagement
Live
Hyper-Personalized Patient Campaigns

The right health message for the right patient.

A 65-year-old diabetic patient due for a quarterly check-up needs a completely different message than a 30-year-old who had a dermatology consultation six months ago. Geta.ai segments your patient database by condition, department, last visit date, and age group — then delivers hyper-personalized WhatsApp campaigns including preventive care reminders, vaccination alerts, and specialist referral prompts. Clinically relevant outreach drives 4× more appointments than generic broadcast messages.

more appointments booked via WhatsApp vs phone-based booking
Care Coordinator Inbox

Every patient. Every touchpoint. One place.

Care coordinators juggle phone calls, WhatsApp messages, and appointment management across disconnected tools. Geta.ai's Inbox consolidates every patient conversation — regardless of channel — into a single screen, with the patient's full profile showing conditions, appointment history, last consultation notes, and preferred communication channel in a real-time sidebar. Team assignment ensures every inquiry has a clear owner. The result: coordinators respond with full context instantly, handle 3× more patients, and reduce administrative workload by 40%.

↓ 40%admin workload reduction — coordinators handle 3× more patients
app.geta.ai
Visual coming soon
Before Geta.ai, our no-show rate was 34%. We're now at 14%. The automated reminder sequence on WhatsApp changed patient behaviour completely — and our coordinators spend zero time on manual reminder calls.
AK

Dr. Anita Kapoor

Operations Director, MedCare Clinics

↓ 58%

No-show rate reduction

Appointments via WhatsApp

How It Works

From Patient Inquiry to Attended Appointment

Four automated steps — from the moment a patient reaches out to the moment they complete their visit and receive follow-up care.

Patient inquiry via WhatsApp or web

Patients reach out via WhatsApp, your website chat widget, or a QR code at your clinic. Geta.ai captures every inquiry instantly — new appointment requests, existing patient follow-ups, and general health questions — all flowing into the CRM with full channel attribution.

AI books the appointment instantly

The AI Appointment Agent guides the patient through department selection, doctor preference, date and time availability, and booking confirmation — completing the entire flow in minutes, 24/7. No admin involvement required for routine scheduling.

Multi-step reminder sequence reduces no-shows

A automated reminder sequence fires 48 hours, 24 hours, and 2 hours before the appointment. Patients confirm or reschedule directly via WhatsApp. No-show rates drop by 58% because reminders arrive in the channel patients actually check.

Post-visit Journey for follow-up care

After each appointment, an automated Journey delivers care instructions, medication reminders, follow-up scheduling prompts, and satisfaction surveys — tailored by department and treatment type. Preventive care recalls keep patients engaged between visits.

FAQ'S

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Geta.ai is built with data security at its core — including encryption at rest and in transit, role-based access controls, and audit logging for all patient interactions. We operate exclusively through official Meta WhatsApp Business API partners. For healthcare customers, we provide data processing agreements and configurable data residency options. Consult your compliance team to map Geta.ai's controls to your local regulatory requirements.

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