Huntsman Cancer Institute Decreased Average Wait Times by 26% During Peak Hours

16% Decrease in average wait times on peak day
26% Decrease in average wait time during peak hours
0 Days above capacity since implementation

Summary

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.

Profile

110 chairs

5 centers

Epic EHR

NCI / NCCN designation

Academic Medical Center

Utah

Problem

HCI had increasing volume, which was making it hard to find slots for longer treatments. They would also exceeding capacity in peak hours and on peak days, which would impact patient wait times and negatively affect nurse satisfaction.

 
Utilization Curve Before

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 After

Download the full iQueue for Infusion Centers case study booklet

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Chapter 1: The Looming Challenge

If you work in the healthcare industry, or even if you’re just an interested observer, you don’t need a book to tell you that the financial pressure is on as never before. A perfect storm of circumstances is swirling together, one that will make survivability, not to mention profitability, a greater challenge for healthcare companies than we’ve seen in the modern era.

As with banks, retailers, and airlines, which had to rapidly enhance their brick-and-mortar footprints with robust online business models—it is the early movers eager to gain new efficiencies that will thrive and gain market share. The slow-to-move and the inefficient will end up being consolidated into larger health systems seeking to expand their geographical footprints.

The pressures on healthcare

Let’s look at just a few of the looming challenges healthcare must meet head-on.

An aging population

By the year 2030, the number of adults sixty-five years of age or older will exceed the number of children eighteen years or younger in the United States. We are living longer than our parents did. Positive news for sure, but problematic for several reasons.

The older we get, the more medical help we need. Older people have more chronic diseases. By 2025, nearly 50 percent of the population will suffer from one or more chronic diseases that will require ongoing medical intervention. This combination of an aging population and an increase in chronic diseases will create a ballooning demand for healthcare services.