Healthcare & Clinics · previously Calling app
Scala Clinic: Consultation enquiries booked, reminded and followed up
Patient enquiries from ads and referrals converted into booked consultations with recall follow-ups after treatment.
Fewer empty chairs, plus a recurring revenue stream from patients who already trust the clinic.
-30%
Appointment no-shows
Automated reminders on WhatsApp before each slot
New stream
Recall revenue
Post-treatment follow-ups now scheduled by rule
Complete
Enquiry history
Calls, notes and visits on one patient record
Before LEMAI
What was going wrong
- A calling app captured numbers but held no treatment context or history
- No-shows were high because reminders were manual
- Post-treatment recall opportunities were never worked
What we set up
How we fixed it
Step 01
Enquiry-to-consultation pipeline
Stages for enquiry, consultation booked, consulted, treatment planned and treatment done.
Step 02
Reminder and recall automations
Appointment reminders before, and recall nudges at fixed intervals after treatment.
Step 03
Controlled access
Role-based visibility keeps enquiry details limited to the front-desk and counsellor roles.
Modules used
What they use every day
- Lead Management
- Tasks & Meetings
- Automations
- Users & Custom Roles
“The front desk stopped relying on memory. The system reminds patients and reminds us.”
Clinic operations, Scala Clinic
Money left on the table
Where they were losing revenue
Each gap below was costing enquiries that had already been paid for.
No-shows against booked slots
Manual reminders meant paid consultation slots went unused.
No treatment context
A calling app held numbers but no history, so counselling restarted every time.
Recall opportunities ignored
Post-treatment follow-ups, the cheapest revenue available, were never worked.
What made the difference
The changes that brought in more business
Each lever maps to a specific commercial effect the team could measure.
Lever 01
Appointment reminder automations
WhatsApp reminders before every consultation slot.
Business effect
-30% no-shows, so booked capacity is actually billed
Lever 02
Recall sequences
Rule-based nudges at fixed intervals after treatment.
Business effect
A repeat revenue stream from the existing patient base
Lever 03
Complete patient record
Calls, notes, visits and treatment plans on one timeline.
Business effect
Stronger conversion from consultation to treatment plan
Before and after
The numbers, before and after
Appointment no-shows · before
High, manual reminders
With LEMAI
-30%
Post-treatment recall · before
Not worked
With LEMAI
Scheduled by rule
Enquiry history · before
Phone log only
With LEMAI
Full patient timeline
Rollout
Live in a few weeks
- 1Week 1Enquiry-to-treatment pipeline and front-desk roles configured.
- 2Week 2Reminder and recall automations switched on.
- 3Week 3Treatment-plan conversion reporting reviewed weekly.
Revenue impact
Clinic revenue is a function of chair utilisation and repeat visits. Cutting no-shows recovered billable slots the clinic had already paid to fill, and recall automations created a second, higher-margin revenue line from patients already on the books.
Outcomes are indicative ranges observed across comparable LEMAI deployments in the same sector, shared with client permission.
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InfozIT Solution · Infomark Labs Private Limited