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Problem

NewYork-Presbyterian is home to two of the nation’s leading cancer centers – the NCI-designated Herbert Irving Comprehensive Cancer Center of NYP/Columbia University Medical Center and the NYP/Weill Cornell Ronald P. Stanton Clinical Cancer Program and the Weill Cornell Medicine Sandra and Edward Meyer Cancer Center.

As a leading cancer center, NYP treats some 7,500 adult and pediatric patients newly diagnosed with cancer each year.

  • Consistently operating at capacity
  • A peaky utilization profile leading to extended wait times in the middle of the day

Solution

Leadership at NYP deployed iQueue for Infusion Centers at one of its centers with 49 chairs to create optimized infusion scheduling templates. iQueue for Infusion Centers uses data science and machine learning to create optimized scheduling templates in order to continuously maximize patient flow and chair usage.

Utilization Curve Before

Utilization Curve After

Results

55%
LOWER
Waiting Times
at Peak Hours
40%
LOWER
Average
Waiting Time
17%
HIGHER
Patient
Volumes
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