The Power of Watson
Appointments On Time
No-shows cost healthcare systems billions of dollars annually. They not only hit the revenue side of your business but also the expense side due to overstaffing and the under utilization of resources. AOT-CSM is cognitive, becoming more accurate over time as it learns processes and behaviors.
We look at past patient behavior, traffic patterns, weather conditions, school closings, etc. to come to our predictions.
The AOT-CSM integrates AOT’s proprietary scheduling algorithm with the cognitive computing power of IBM’s Watson artificial intelligence platform to predict whether a patient will be late or a no show for their appointments.
IBM Watson, Go
Artificial Intelligence, Scheduling, Machine Learning, Healthcare, IBM Watson, Design, Development, Analytics