How NewYork-Presbyterian/Columbia University Irving Medical Center Used AI to Cut Wait Times by 8% While Allowing for 25% More Same Day Add On Patients

NewYork-Presbyterian/Columbia University Irving Medical Center’s Adult Infusion Center was struggling with long patient wait times, nurses having to stay past closing time and an inflexible schedule that didn’t take into account no show and same day add on patients. They then developed and implemented a scheduling template using historical data and AI modeling by partnering with iQueue for Infusion Centers.

After partnering with LeanTaaS and leveraging iQueue for Infusion Centers to make the change, they saw:

• 8% decrease in average wait times while accommodating a 25% increase in same-day add-on appointments.
• 36% decrease in days over capacity, leading to less overtime and higher nurse satisfaction.

Learn how NewYork-Presbyterian used AI-informed scheduling tools to optimize resource utilization and increase efficiency while leveraging existing resources to see more patients.

Learning Objectives:

• Learn the way efficient scheduling for infusion centers can leverage data-driven insights to increase productivity and improve patient experience.
• Discover how cutting-edge tools and techniques can help you optimize resource utilization and prevent capacity overloads in high-volume settings.
• Learn how to utilize scheduling templates to increase patient volume without compromising on the quality of care or straining your staff and physical resources.