LeanTaaS Reduces Wait Times for 1 Million Patient Visits

SANTA CLARA, Calif. - April 18, 2018 - PRLog -- LeanTaaS Reduces Wait Times for 1 Million Patient Visits

• Customers include 23 NCI and 15 NCCN centers
• Patients see wait time reduced by 30-50 percent

SANTA CLARA, Calif. — April 18, 2018 — LeanTaaS, a Silicon Valley healthcare analytics company that increases patient access and transforms the operational performance for healthcare providers, today announced that iQueue for Infusion Centers has crossed an important deployment milestone: 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, now rely on the solution to increase patient access, reduce wait times, improve nurse satisfaction and lower healthcare delivery costs. In March, the University of Nebraska Fred & Pamela Buffett Cancer Center joined a prestigious list of customers that includes 23 National Cancer Institute-designated centers and 15 National Comprehensive Cancer Care Network (NCCN) member institutions.

iQueue combines lean principles and predictive analytics to optimize the use of infusion chairs at infusion centers. Launched in 2014, 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

"The Fred & Pamela Buffett Cancer Center has harnessed the most advanced biomedical and technological tools available to forever change the way cancer is diagnosed and treated. When we attended the LeanTaaS annual User Group Conference in February, we were impressed with the operational improvement other iQueue centers have achieved, along with the tremendous amount of reporting analytics available on demand," said Rebecca Duchman, director of ambulatory infusion/treatment services at Nebraska Medicine. "We are excited to join 14 other National Comprehensive Cancer Network member institutions in deploying iQueue for Infusion Centers to improve access and reduce wait times for our patients, increase job satisfaction for our nurses and staff, and lower healthcare delivery costs."

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.

"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."

The demand for healthcare services is on the rise; in addition to secular trends like aging, provisions of the ACA are leading to higher volumes of patients in hospitals. At the same time, hospitals are also facing cost and margin pressures that require them to do more with less. This is even more pronounced for cancer care where the World Health Organization predicts that new cancer instances are expected to rise by about 70 percent over the next two decades. Mathematical optimization techniques are necessary for managing the rising demand for healthcare. Advanced mathematics and data science can help infusion centers schedule more effectively so their chairs are level loaded across the day and able to accommodate 15-20 percent more patients while simultaneously reducing their wait times.

"It is exciting to see the profound impact that iQueue for Infusion Centers is having on the operations of these leading cancer centers," said Sofia DeMarco, director, product management, oncology products, at LeanTaaS. "As a team, we are incredibly proud of these 100 centers and excited that our work can help make a difference for infusion patients and staff."

About iQueue for Infusion Centers

iQueue for Infusion Centers is a lightweight, cloud-based SaaS platform that flattens chair utilization throughout the day to increase patient access, decrease wait times, improve nurse satisfaction and reduce infusion delivery costs. The solution 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. For more information about iQueue for Infusion Centers, please visit www.leantaas.com/infusion_centers.

About LeanTaaS

LeanTaaS provides software solutions that combine lean principles, predictive analytics and machine learning to transform hospital and infusion center operations. More than 50 providers across the nation rely on the company's iQueue cloud-based platform to increase patient access, decrease wait times, reduce healthcare delivery costs and improve revenues. LeanTaaS is based in Santa Clara, California.  For more information about LeanTaaS, please visit www.leantaas.com and connect on Twitter/LeanTaaS, Facebook/LeanTaaS and LinkedIn/LeanTaaS.

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LeanTaaS and iQueue are trademarks of LeanTaaS. All other brand names and product names are trademarks or registered trademarks of their respective companies.

Tags: LeanTaaS, iQueue, healthcare, predictive analytics, infusion centers, cancer centers, machine learning, hospitals, data science, data analytics, big data, Fred & Pamela Buffett Cancer Center