Mays Cancer Center Decreased Average Chair Wait Times by 92%
92% Decrease in average chair wait times
34% Decrease in average drug wait times
25% Increase in average completed volume

Summary

The Mays Cancer Center, a part of The University of Texas Health Science Center San Antonio, provides leading cancer care in San Antonio and South Texas. Mays Cancer Center is one of only four National Cancer Institute (NCI)-designated Cancer Centers in Texas and the only in South Texas. As an academic medical center, Mays Cancer Center provides high quality care while pioneering new treatment options through clinical trials and research.

Profile

32 chairs

1 center

Epic EHR

Academic Medical Center

South Texas

Problem

With an increasing patient volume that was expected to continue trending upward, Mays Cancer Center experienced several problems that challenged the ability to accommodate anticipated growth. These included scheduling inefficiencies and long patient wait times, connected with consistent midday appointment bottlenecks that caused nurses to miss lunch breaks. Mays Cancer Center needed a solution to address these problems by addressing inefficiencies and creating schedules that balanced appointments throughout the day.

Solution

Leadership at Mays Cancer Center made the decision to deploy LeanTaaS’ iQueue for Infusion Centers to optimize their infusion workload throughout the day, provide visibility into overall scheduling decisions, and identify operational detractors. As a result of this transparency, the center’s chair wait time decreased by 92% despite seeing a 25% increase in volume. Patients are now being roomed within 6 minutes of check-in, a historic low for the cancer center.

In partnership with their dedicated iQueue customer success team, Mays Cancer Center’s leadership also conducted an operational analysis, specifically examining chair utilization across departments. They discovered times of unused chair capacity despite patients waiting, and extended wait times for lab results and walk-in appointments. By mapping patient journeys and locating bottlenecks, they identified clear opportunities for improvement. For example, patients often waited in chairs for lab results when freeing up the chair quicker would allow intake of the next patient. Additionally, adjusting walk-in lab scheduling allowed for steadier patient flow. Through refinements focused on optimizing chair use and timing, the team increased chair usage effectiveness and reduced average patient wait times, improving the overall experience. Their analysis powered by iQueue’s data and process improvement approach serves as a model for positively impacting efficiency across their system.

Download the full iQueue for Infusion Centers case study booklet

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