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iQueue for Infusion Centers Case Study – Huntsman Cancer Institute

Huntsman Cancer Institute (HCI) is part of the University of Utah Health Care system. HCI is one of 72 elite NCI-designated Cancer Centers in the entire country and one of 33 NCCN Member Institutions, which means it meets the highest standards for cancer care and research and receives support for its scientific endeavors. HCI is also a member of the National Comprehensive Cancer Network (NCCN), a not-for-profit alliance of the world’s leading cancer centers.

Problem

  • Increasing volume was making it hard to find slots for longer treatments
  • Exceeding capacity in peak hours and on peak days was impacting patient wait times
  • Exceeding capacity in peak hours was affecting nurse satisfaction

Solution

HCI deployed iQueue for Infusion Centers at its 36-chair center 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

Huntsman before curve

Utilization Curve After

Huntsman after cruve

Results

The following results were calculated by comparing the six month period post-iQueue launch to the analogous six months in the previous calendar year.

0%
Decrease in Average Wait Times on Peak Day
0%
Decrease in Average Wait Time During Peak Hours
0
Days Above Capacity Since Implementation
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