Case Study: University of California, San Francisco cuts peak wait times by 31% and hours over capacity by 42% with LeanTaaS iQueue for Infusion Centers

UCSF Reduced Infusion Wait Times at Peak Hours by 31%

The University of California, San Francisco’s Helen Diller Family Comprehensive Cancer Center was consistently operating over capacity with a “peaky” midday utilization profile that caused long patient wait times, overflow in waiting rooms, and strained staff and patient satisfaction. To address this, leadership engaged LeanTaaS and its iQueue for Infusion Centers solution to optimize infusion scheduling templates.

LeanTaaS deployed iQueue for Infusion Centers first in a 12‑chair/3‑bed clinic and then across four additional centers adding 82 chairs, using data science and machine learning to smooth schedules and maximize chair utilization. After implementation, UCSF saw a more even workload and unlocked capacity, with measurable improvements: 31% lower waiting times at peak hours, 26% lower average waiting time, 42% fewer average hours over capacity, and an 8% reduction in overall average daily peak.

University of California, San Francisco

Aubrey Wong

Administrative Director