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Problem

The Stanford Cancer Center is one of 47 elite NCI designated Comprehensive Cancer Centers in the entire country. Stanford advances the understanding and treatment of cancer through a multidisciplinary, integrated and collaborative community of physicians and scientists. It performs over 65,000 infusions annually across 3 centers and is growing steadily. The Center was experiencing the following operational challenges:

  • Triangular usage profile that resulted in excess capacity in the mornings and evenings and peaks at mid-day
  • Long patient wait times during the middle of the day
  • High overtime costs
  • Resources not being used optimally

Solution

Stanford partnered with LeanTaaS to jointly develop iQueue for Infusion Centers and deployed it at one of its 60 chair centers 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

31%
LOWER
Median Wait
Times
78%
LOWER
Emergency Call Back
Overtime Pay
17%
LOWER
Total Cost per Unit
of Service
25
HIGHER
Percentile Points in
Nursing Satisfaction
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