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Problem

The University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center (UMGCCC) is a NCI-designated Comprehensive Cancer Center located on the medical campus of the University of Maryland at Baltimore. UMGCCC has experienced tremendous growth over the last several years, producing roughly 50,000 outpatient visits, 1,800 inpatient admissions, and over 3,000 new patients annually, drawing from both local and regional markets. Infusion volumes are expected to continue to exceed 22,000 visits annually. As a result, the center experienced:

  • Consistently operating at capacity
  • Extended patient wait times in the middle of the day
  • Strained resources and staff needing to stay past operating hours

Solution

Leadership at UMGCCC deployed iQueue for Infusion Centers for 29 chairs and 2 beds to create optimized infusion scheduling templates.

iQueue for Infusion Centers uses data science and constraint-based optimization to create level-loaded scheduling templates to continuously maximize patient flow and chair usage. The solution also provides daily management tools to keep everything on-track with:

  • Utilization projections by time of day to help foresee bottlenecks, steer add-ons, and anticipate no-shows
  • Daily huddle reports that provide staff with a start-of-the-day view of expected chair utilization, template compliance (how close to the optimal schedule the day’s appointments are), and over- and under-booking estimations.
  • Schedule grooming tools that help level-load scheduled appointments by identifying which appointments to move and where to move them
  • Ongoing operational check-ins and scenario planning that adapt templates to support changes in demand and new process improvement initiatives.

Utilization Curve Before

Utilization Curve After

Results

45%
DECREASE IN
Average time over
maximum chair capacity
36%
DECREASE IN
average
patient wait time
48%
DECREASE IN
Number of weekdays running past normal operating hours
59
HIGHER
Average hours
nurse overtime
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