Illustrative
How a multi-city diagnostics chain can cut no-shows with automated reminders
By Office24by7 Team · 9 Oct 2026
This is a representative scenario that shows how diagnostics and healthcare teams use Office24by7 — figures are illustrative. Want your real, named story here? Tell us about it →
Fewer no-shows
Appointments confirmed automatically
One shared patient record across centres
Staff off the phones, back with patients
Illustrative of how a representative diagnostics chain can run on Office24by7 — qualitative outcomes, not a specific customer claim.
The challenge
Bookings were leaking to the phone queue
Across a dozen centres, patients booked by phone, were reminded by hand — when someone remembered — and routinely didn't turn up. Front-desk staff spent hours dialling to confirm slots and chase no-shows, and every centre kept its own notes.
- ✓ Reminders were manual and inconsistent
- ✓ No-shows went unmeasured and unrecovered
- ✓ Each centre's data lived in a different place
- ✓ Staff were tied to the phone instead of patients
Manual confirmation calls
Hours per centre, every day
No-show, no follow-up
Lost slot, lost revenue
Notes per centre
No single view of a patient
What they did
Every reminder, confirmation and call on one platform
The team moved bookings onto a single shared record and let the platform handle the repetitive work — so staff only step in when a patient needs a person.
- ✓ Automated WhatsApp & SMS reminders fire before every appointment
- ✓ A smart IVR routes inbound calls and lets patients confirm or reschedule themselves
- ✓ The agent chases no-shows on its own and offers the next open slot
- ✓ One record per patient across all three cities, visible to every centre
WhatsApp reminder sent
24h before · delivered
IVR · patient confirmed slot
No agent needed
No-show → auto re-booked
Next slot offered automatically
In a scenario like this, the front desk stops living on the phone — reminders and confirmations happen on their own, and staff spend their time with patients in the centre instead of chasing the ones who didn’t show.
Illustrative diagnostics scenario
Not a specific customer · no named company, person or metrics implied

