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Read moreCustomer story · Healthcare
How Arogya Multispeciality cut no-shows 42% in 90 days
One in five booked appointments ended as an empty chair, and the front desk spent its day on confirm-and-reschedule calls. Arogya Multispeciality moved confirmations, reminders and rescheduling to WhatsApp.
Outpatient healthcare12-clinic networkWestern IndiaWhatsApp Business APIChatbots & automationShared team inbox
Executive summary
Arogya Multispeciality, a 12-clinic outpatient network, replaced reminder calls with utility WhatsApp confirmations, timed reminders and a one-tap reschedule flow. No-shows fell 42% within 90 days, and more than half of reschedules now happen without a phone call.
42%
fewer appointment no-shows within 90 days
57%
of reschedules completed self-serve
35%
reduction in front-desk call volume
80%
of lab patients skip the report-collection visit
The challenge
Where the numbers leaked
Across Arogya Multispeciality's 12 outpatient locations, roughly one in five booked appointments ended as a no-show. Each empty slot was a clinician waiting, a patient elsewhere who could have taken it, and revenue that could not be recovered. The only defence was reminder calls — expensive to staff consistently across 12 locations, easy for patients to miss, and useless for the patient who genuinely needed to move an appointment at 10 pm.
The front desk absorbed the fallout. Confirmations, reschedules and where-is-my-report calls filled the queue, patients travelled to clinics just to collect lab reports, and staff hired to receive patients spent most of their shift on the phone.
Before the rollout
- One in five appointments ended as a no-show
- Reminder calls reached patients inconsistently across 12 locations
- Reschedules arrived as voicemails and hold-queue calls
- Patients travelled to clinics just to collect lab reports
Implementation
Kickoff to live campaigns in three weeks
- 1
Week 0
Kickoff and number migration
Business verification completed, the network's number moved to the WhatsApp Business API, and a privacy review confirmed templates carry appointment logistics only — never clinical details.
- 2
Week 1
Templates and reschedule flow
Utility confirmation and reminder templates approved, the scheduling system connected via webhooks, and the one-tap reschedule flow tested against live slot data.
- 3
Week 2
Team onboarding
Front-desk staff at all 12 clinics onboarded to the shared inbox, with clear escalation from the automated flows to clinical staff for anything medical.
- 4
Week 3+
Reminders live
Confirmations at booking, reminders at 24 hours and 2 hours, and lab-report-ready notifications switched on network-wide, with no-show rates tracked per clinic.
Architecture
How the pieces connect
Clinic scheduling system
Appointments & slot writeback
WhatsApp Business API
Utility confirmations & reminders
Chatbots & automation
One-tap reschedule flow
Shared team inbox
Front desk, 12 clinics
Integrations touched: Scheduling system via webhooks · Lab information system · REST API
Automation
The workflows doing the work
Reminder to kept appointment
Appointment at T-24h and T-2hUtility reminder with confirm & rescheduleOne-tap slot picker on rescheduleFreed slots offered to the waitlist
Lab report ready
Report marked ready in the lab systemReport-ready notificationSecure link or collection choiceNo queue at the front desk
In the conversation
What customers actually see
The reminder flow: a patient who can no longer make it reschedules in two taps, and the freed slot goes to the waitlist instead of standing empty.
Reminder: your orthopaedics follow-up at Arogya Multispeciality, Kondhwa is tomorrow at 10:30 am.
Confirm
Reschedule
Reschedule
No problem — here are the next available slots at Kondhwa:
Tomorrow 4:30 pm
Thu 11:00 am
Fri 9:00 am
Thu 11:00 am
Rescheduled — Thursday, 11:00 am at Arogya Multispeciality, Kondhwa. Your earlier slot has been released to the waitlist.
Before vs after
The same metrics, one quarter apart
No-show rate
Lower is better
Before
20% · reminder calls
After
11.6% · WhatsApp reminders
Front-desk call volume (indexed)
Lower is better
Before
100 · baseline
After
65 · after rollout
Reschedules completed self-serve
Before
≈0% · all by phone
After
57% · one-tap flow
ROI analysis
The math, kept honest
Clinic economics make this a short calculation: clinicians and rooms are rostered whether the patient arrives or not, so every kept appointment is recovered capacity, not new cost.
Monthly cost
Plan + messages
A Growth plan plus utility message charges, billed per delivered message — your live rate card in the dashboard shows exact prices. Reminder volumes are predictable from the appointment book.
Recovered value
42% fewer empty slots
Across 12 clinics, the kept appointments in this scenario represent rostered clinician time put back to work — a large multiple of the messaging spend, before counting freed front-desk hours.
Payback framing
A few visits per clinic
Framed conservatively, a handful of kept appointments per clinic each month covers the channel in this scenario. The reduction in call volume is on top.
The no-show number moved in the first month. The quieter change was the front desk — it stopped being a call centre and went back to being a front desk.
FAQ
Frequently asked questions
How long did it take to go live?
About three weeks in this scenario: number migration and privacy review in week 0, template approval and the reschedule flow in week 1, front-desk onboarding in week 2, and network-wide reminders from week 3.
How is patient privacy handled?
By data minimisation: templates carry appointment logistics and report-ready status only — never diagnoses or clinical details. Every flow is consent-first with one-tap opt-out, and messages on WhatsApp are end-to-end encrypted in transit.
What does a deployment like this cost?
Platform plans are on /pricing. Meta's message charges are billed per delivered message; your live rate card in the dashboard shows exact prices. Reminders are utility messages, which keeps volumes predictable.
Does it need IT work from the clinic network?
One integration: the scheduling system sends appointment events and receives reschedules back over webhooks and the REST API. InfiQ's onboarding team pairs with your scheduling vendor on the mapping.
About this story
This case study is a composite scenario prepared by the InfiQ team to illustrate a typical healthcare deployment on the platform. Metrics represent modeled outcomes for this scenario rather than the reported results of a single named customer.
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