How Predictive Analytics Cut No-Shows by 70%
This case study shows how a 20-location healthcare network used predictive analytics to turn things around. With support from CCD, they went from a 9.4% no-show rate to a smarter system that predicts and prevents missed appointments.
Fewer No-Shows, More Predictable Days
Lower Operational Costs
Better Patient Care
No-shows hurt more than your bottom line. They disrupt schedules. Waste resources. And delay care.
Missed appointments aren’t just lost revenue. They’re missed opportunities for care. This case study shows how data can fix that — without adding more work for your staff.
Whether you manage one clinic or a full network, this real-world success story offers insight into:
- How advanced machine learning flagged high-risk no-shows before they happened
The key actions that reduced predicted cancellations by 70%
How over $300,000 in savings was unlocked at just 7 of the 20 locations
The surprising ways better scheduling improved patient care
Download The Business Case
Who Should Read This?
- COOs of multi-site networks
- Hospital Managers
- Health IT and Innovation Teams
Discover How Smarter Scheduling Creates Better Outcomes
Download The Business Case