Infusion centers face a daily operational paradox -- scarce resources like infusion chairs are both over-booked and underutilized on the same day. The typical "feast or famine" utilization pattern -- slow mornings, followed by a mid-day rush and slow evenings -- leads to several undesirable outcomes: long patient wait times, overworked nurses, and high operational costs.

Scheduling patients with varying treatment lengths into a fixed number of chairs is a complex mathematical problem most EHRs and spreadsheets are ill-equipped to handle. In this session, Emory Healthcare’s VP of Operations, Sheryl Bluestein, will explain how they combined lean principles, predictive analytics, and constraint-based optimization methods to predict volume and mix and "level load" treatments evenly throughout the day, resulting in a 23% reduction in wait times during peak hours.

Key Takeaways:

  • Why infusion centers constantly experience a "mid-day rush"
  • What makes the scheduling optimization problem so mathematically challenging that it cannot be solved with traditional scheduling methods or process improvement projects
  • How Emory and dozens of cancer centers are combining lean principles and predictive analytics to significantly lower wait times and improve staff satisfaction.

Webinar transcript here

The Daily Huddle

Presented By:

Mohan Giridharadas

Founder and CEO, LeanTaaS

 

 

Sheryl Bluestein

Vice President of Operations at Emory University Hospital Midtown