Challenge
Pera Hospital was losing a significant share of scheduled appointments as no-shows. Patients went quiet before the appointment, and the team could not tell in advance who would turn up. That meant both empty chairs and missed revenue.
Case Study · Dental
Pera HospitalCut no-show rates by 58%
With the Argus agent predicting high-risk patient churn in advance, Pera Hospital cut no-show rates by 58%.
Illustrative scenario: created to demonstrate Klinea workflows; it will be replaced with real customer cases after launch.
At a glance
Results, measurable
−58%Appointment no-show rate
30 günRisk flagged in advance
+22%Patients recovered via win-back
The story
From problem to result, step by step
Solution
Argus Churn read patient signals and flagged patients drifting away 30 days in advance. The risk score, last contact and recommended action were collected in one panel. High-risk patients automatically received reminders from the Appointments module, and the team stepped in on time via the Unified Inbox. For recovery, the win-back pipeline was prioritised automatically.
Results
- Appointment no-show rate fell by 58%
- Churn risk was flagged 30 days in advance
- 22% of at-risk patients were recovered via win-back
- Empty chairs turned into booked appointments on time
“Argus tells us who is about to drift away, so we step in before the patient goes quiet. Our no-show rate dropped by more than half.”
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