WhatsApp for healthcare and clinics
Clinics, labs, pharmacies and telemedicine run on the appointments module and reminder engine — booking, no-show prevention, result notifications and 24/7 patient support, with consent recorded throughout.
Why healthcare ends up on WhatsApp
A no-show is a slot that cannot be resold and a clinician who is paid regardless. It is the most expensive routine failure in outpatient healthcare, and it is largely a reminder problem — patients forget, or they intended to cancel and found calling inconvenient.
Reception teams compensate by phoning to confirm, which consumes hours and reaches a fraction of patients. Meanwhile the same team is fielding calls about opening hours, insurance coverage and whether results are ready — questions with fixed answers.
The appointments module handles booking and reminders on the channel patients actually answer, with rescheduling one tap away rather than one phone call away. AI answers the fixed-answer questions from your own documents, escalating to a human when it should. And because consent changes are recorded permanently and history is exportable, patient communication can be explained to a compliance function rather than defended after the fact.
An appointment, without the phone
Booking, reminding and rescheduling — the three steps where no-shows are won or lost.
- 1
Patient taps "Book"
A flow collects specialty, doctor and preferred slot. Existing patients are recognised by number, so the flow does not re-ask what the record already holds.
- 2
Slot confirmed against a real calendar
The booking writes to Google Calendar, so the slot is genuinely reserved rather than requested. The patient gets a confirmation in the thread immediately.
- 3
Reminders at 24 hours and 1 hour
Utility templates fire before the appointment. Crucially, rescheduling is a tap inside the same thread — a patient who cannot attend releases the slot instead of silently not arriving, which is the difference between a no-show and a filled slot.
- 4
Results and follow-up
When a report is finalised, your system triggers a notification through the REST API or a webhook, carrying a secure link. Prescription refill requests come back through a flow and open tickets for the pharmacy team.
- 5
Consent recorded throughout
Opt-in and opt-out changes are permanently recorded per contact, and conversation history is exportable. Awareness campaigns then run only against consent-checked segments.
What teams actually run
Everything below ships in the product. See every feature or the integrations catalogue.
Appointment scheduling
Patients pick doctor, specialty and slot via flows with calendar sync.
Visit reminders
Alerts 24h and 1h before visits, with rescheduling one tap away.
Lab result notifications
Secure links sent the moment reports are finalised, via API or webhooks.
Prescription refills
Flows collect refill requests and open tickets for your pharmacy team.
Health awareness
Vaccination drives and wellness information to consent-checked segments.
24/7 patient support
Hours, billing and insurance answered by AI from your documents, with handoff.
What changes
- Reminders reach patients on a channel they open, and rescheduling is a tap — so cancelled slots can be refilled instead of lost.
- Reception stops spending its morning confirming appointments by phone.
- Fixed-answer questions — hours, insurance, whether results are ready — are handled without a human, with escalation when they should be.
- Consent and conversation history are recorded and exportable, which is what makes the programme defensible.
Build this first
Begin with appointment reminders and one-tap rescheduling. It is the narrowest possible scope, it requires no clinical data, and its effect on your no-show rate is measurable within one appointment cycle.
Booking flows follow once reminders are stable, and result notifications last, because those touch your LIS or practice system and need proper consideration of what is sent versus what is linked. Work through consent and retention settings before anything patient-facing goes live.
Healthcare, answered.
Yes. A flow collects specialty, doctor and slot, and the booking writes to a synced calendar so the slot is genuinely reserved. Returning patients are recognised by phone number.
We do not publish a figure we have not measured across your patient base. The mechanism is straightforward: reminders arrive on a channel patients open, and rescheduling is one tap in the same thread, so a patient who cannot attend releases the slot instead of not arriving. Measure it against your current no-show rate over a full cycle.
Zapelite records consent changes permanently, isolates workspace data at the database layer, and provides export and deletion as product features; our privacy policy addresses UAE PDPL, GDPR and CCPA rights. Whether your specific programme is compliant also depends on your lawful basis, what clinical information you choose to send and your retention policy — worth working through together rather than assuming.
Yes. Your LIS or practice system triggers a notification through the REST API or a webhook when a report is finalised, carrying a secure link rather than the report contents themselves.
The AI answers from a knowledge base built on your own documents — opening hours, insurance coverage, preparation instructions — and hands off to a human when it cannot answer. It is deliberately scoped to administrative questions, not clinical advice.
Other industries
Beauty & Wellness
Slot booking with deposits, reminder engine, fair stylist routing and automatic win-back for lapsed clients.
Education
Admissions as a CRM pipeline, AI answering programme and fee questions, fee reminders with payment links.
Travel & Visa Services
Document checklists with automatic chase-ups, application status updates, itineraries and balance collection.
See it running on your workflow
Book a demo and bring one real scenario from your operation. We will build it in the product rather than describe it on a slide.