LeanTaaS Reaches 1 Million Patient Visits with Addition of Fred & Pamela Buffett Cancer Center to Roster

Posted Apr 18, 2018

Schedule optimization to improve patient access and reduce wait times is a very real problem in our healthcare system. With help from healthcare analytics startup, LeanTaaS, more than 100 infusion centers across the United States, including seven of the top 10 cancer hospitals as ranked by U.S. News & World Report, are making headway.

In March, the University of Nebraska Fred & Pamela Buffett Cancer Center became LeanTaas’ 100th customer and joined a prestigious list that includes 23 National Cancer Institute-designated centers and 15 National Comprehensive Cancer Care Network (NCCN) member institutions.

Institutions using iQueue for Infusion Centers collectively manage over 2,500 infusion chairs. Increasing the effective capacity of such a large set of chairs in aggregate improves access to infusion treatment while reducing wait times for cancer patients. This would not have been possible without the advanced data science and patent-pending level-loading algorithms built into the solution.

iQueue for Infusion Centers has seen significant demand and shown high ROI at some of the nation’s largest healthcare organizations. Adopters have seen notable improvements in operational performance, including:

- a 30-50 percent reduction in the wait times for patients

- an increase of 15-20 percent in the treatment capacity through “level loading” chair utilization

- improved staff satisfaction

- a significant reduction in the number of occasions when a waitlist for chairs has to be created

“Within three short years, we have gone from improving operational performance in two infusion centers to more than 100 infusion centers,” said Mohan Giridharadas, CEO of LeanTaaS. “The speed of this adoption is a testament to how thoroughly the product addresses the critical pain points faced by most infusion centers today. We are privileged to work with amazing institutions like the Fred & Pamela Buffett Cancer Center and look forward to helping more infusion centers solve the very real and difficult problem of schedule optimization to improve patient access and reduce wait times in our healthcare system.”

iQueue for Infusion Centers uses machine learning to continuously monitor operational performance, and predictive analytics suggest scheduling template adjustments to keep centers operating optimally. The HIPAA-compliant platform coexists with any EHR system, is very lightweight on the IT requirement making it possible to deploy within weeks, and integrates seamlessly with existing scheduling and operational workflows. More information about iQueue for Infusion Centers is available at