Infusion capacity management: Increase chair utilization & improve patient, nurse satisfaction

This webinar is on-demand and can be viewed at your convenience.

Why do health systems struggle to efficiently utilize assets? The fundamental problem is one of matching a volatile, unpredictable demand for services with the constrained availability of supply. Yesterday’s tools are not adequate to address this supply-demand issue.
Infusion centers face these supply-demand challenges on a daily basis. Building out a schedule for appointments at infusion centers is a coordinated effort that must consider various factors, from peak visit times to supply and capacity demands. These centers experience the same outcomes of unacceptable patient wait times, lack of available appointments, and nurses who can’t get off the floor for their breaks.
Join this Session to Learn:
  • How applying machine learning, mathematical algorithms and predictive analytics to infusion center operations can streamline efficiencies for both patients and clinicians
  • How these principles can solve most challenges that infusion centers contend with nearly every day
  • How Johns Hopkins Medicine has applied these principles and:
    • Managed a 14% growth in patient volumes during COVID at one of the locations
    • Year-over-year decrease in drug wait time by 13%-32%
    • 28% decrease in days running 2+ hours past close at one location
  • How University of Kansas Cancer Center:
    • Reduced average chair wait time by 32%
    • Reduced average drug wait time during peak hours by 16%
    • Accommodated a 19% increase in average daily completed volumes


Jamie Bachman - Carly Xagas-1

Jamie Bachman

Chief Administrative Officer, Johns Hopkins Medicine

Debbie Fernandez - Carly Xagas

Debbie Fernandez

MS, MHSA, LMLP, CPHQ, Director of Quality, Oncology Service Line, University of Kansas Health System