How 3 systems are improving patient flow and workforce alignment at infusion centers


Infusion centers are under growing pressure as cancer incidence rises and treatment protocols grow more complex. At the same time, staffing shortages and workforce fatigue are making it harder to meet demand.

Facilities, pharmacy operations, and clinical teams aren’t scaling fast enough to keep up.

More than 60% of infusion leaders say patient flow and scheduling are their top challenge. Nearly half still face persistent mid-day peaks that strain staff and delay care. Manual scheduling tools — built for a different era — create underused mornings, afternoon gridlock, overtime, and inequitable workloads that frustrate both leaders and frontline teams.

This is no longer about tweaking templates. It's about transforming operations.

This guide outlines practical steps for infusion center optimization, with case studies from Baptist Health Miami Cancer Institute, Rush University Medical Center and Penn Medicine. Learn how predictive analytics and AI-driven operational orchestration help leaders forecast constraints, smooth demand and align staffing in real time — without adding chairs or headcount.

Inside, you'll learn how:
 
  • Miami Cancer Institute boosted daily throughput 15% and cut drug wait times 35%
  • Rush cut infusion wait times 50% while launching a new unit
  • Penn Medicine fulfilled 97% more summer PTO requests through demand-aligned schedules
 

Please fill out the form to download the whitepaper.

 

Please also check out our upcoming Virtual Transform Series.