LeanTaaS Launches iQueue for Surgical Clinics
LeanTaaS is how hospitals and ambulatory service providers do more with less. Discover a new way to manage capacity for your healthcare organization through predictive analytics, generative AI, and machine learning.
$100k
per OR/year in ROI
$10k
per Bed/Year in ROI
$20k
Infusion Chair/Year in ROI
2-5%
Improvement in EBITDA
Capture market share, increase profit, and absorb volume without requesting more capital or staff. Earn an additional $100k per OR per year with a mean increase of 6% in case volume, and earn an additional $20k per infusion chair and $10k per inpatient bed annually.
Manage scheduling, capacity, and staffing needs with real-time insights and forecasting tools to reduce cancellations, missed nurse lunches, and excessive overtime that lead to burnout, dissatisfaction, and resignation.
Proactively match patient demand with the available supply of resources to smooth patient flow, reduce care delays, improve bed turnover and resource utilization, and enhance the patient experience.
Partner with a dedicated engagement team via our “Transformation as a Service” offering that is responsible for implementing our technology, ensuring normalized data hygiene, automating and digitizing existing workflows, driving change management, establishing systemwide governance, and guaranteeing success.
Remove mundane, repetitive tasks from staff workflows with human-like conversations rooted in generative AI and automation. Support decision-making for patient flow, scheduling, command center, block management, staffing, and other capacity management use cases so staff can focus on patient care.
Create a detailed fingerprint of your organization with artificial intelligence and machine learning, using only a small amount of EHR data to generate far more accurate predictive and prescriptive analytics. The iQueue solution suite is cloud-based so that end users can access data anytime, anywhere via a computer or mobile device.
Put down your pencil and paper. Close out Excel. Our Artificial Intelligence and Machine Learning-based products are easy to use, eliminate operational bottlenecks, generate revenue, and increase access to care.
Free up capacity during prime time hours and establish a credible, surgeon-centric, and transparent system to improve open time and surgical block utilization.
1,200+
Hospitals & Centers
14
of the top 25 Health Systems
190+
Health Systems
70%
of Top US News & World Report Honor Roll
“It’s hard to argue with hard ROI and that’s what we got with LeanTaaS. The CFO asks you why you didn’t do it sooner.”
– Aaron Miri, MBA, FCHIME, FHIMSS, CHCIO, Senior Vice President and Chief Digital and Information Officer, Baptist Health
16%
increase in OR prime time utilization
“We’ve increased our volume, we’ve increased our prime time utilization, we’ve increased our staffed room, we’ve increased our block utilization and we’ve generated +$40 million dollars in the first 18 months of [using] the tool.”
– Brian Dawson, MSN, RN, CNOR, CSSM, System VP of Perioperative Services, CommonSpirit Health
$40M
generated in the first 18 months
“When we started with iQueue we had an average daily volume of 98 appointments a day and we now have 117 appointments per day. So that’s about an average of 19 new patients, new appointments that we are seeing each day or 95 additional appointments throughout the week…essentially we have added an entire day of treatment to our week.”
– Debbie Fernandez, Director of Quality – Oncology Service Line, University of Kansas Cancer Center
32%
lower average chair wait time
“UCHeath staff can quickly see, at any time and from any location, capacity status, as well as which units are performing strongly with discharges, and which are falling behind and need more focused support from staff to decrease delays.”
– Steve Hess, Chief Information Officer, UCHealth
8%
decrease in opportunity days
“We weren’t using our resources effectively, and our most valuable resource is [people]. After adopting iQueue, the number of days when infusion centers operated past their scheduled closing times decreased by 31%. Nurses could actually rely on being finished at 5:30 p.m., which improved their ability to make plans after the workday.”
– Tyler Van Brunt, Assistant Nursing Director at Oregon Health & Science University
39%
decrease in days over max capacity
“Moving forward, embracing technology like iQueue is the way of the future and can help hospitals and health systems create more efficiencies to improve the lives of staff and providers.”
– Dr. Binesh Patel, Chief Medical Officer at McLaren Health Care’s Flint Hospital
+250k
OR minutes released
“It’s quite miraculous to me that we had this increase in patient volume at a time when we were having to go through all of the COVID restrictions.”
– Tammy Sayers, Chief of Operations, Texas Oncology
15%
average increase in daily scheduled appointment volume
“With the implementation of iQueue, we were able to increase our volumes by 18%, decrease our wait times for access to a chair by 44%, and lower the wait time for drugs from the pharmacy by 25% due to decreasing the morning bottlenecks we were experiencing.”
– Melanie Maze, MSN, ANP-BC, Director of Clinical Services, SSM Health
44%
decrease in chair wait time
We’re honored that distinguished media and professional organizations have recognized us as the leader in capacity management and optimization.
We wrote the book on hospital capacity management – literally. In Better Healthcare through Math, LeanTaaS CEO Mohan Giridharadas and President Sanjeev Agrawal share the secrets to bending the cost and access curves in healthcare. With the power of predictive analytics, lean principles, deep data science, and machine learning, Better Healthcare Through Math solves the problem of equipment sitting unused while patients wait months for appointments and staff still work overtime. With better data, leaders are able to do more with less and maximize hospital capacity. That’s a winning equation.
Take the first step towards unlocking capacity, generating ROI, and increasing patient access.
