iQueue is our award-winning, best-in-class SaaS product suite for healthcare capacity management. Our smart, cloud-based products are powered by sophisticated AI and machine learning to drive enhanced patient outcomes and improved operations – anytime, anywhere.
The problem? These methods are time-consuming and often only react to problems, rather than proactively solving them. This leads to added stress for staff and providers, increased wait times and delays for patients, and poor experiences for all. Meanwhile, expensive assets like operating rooms sit idle during prime hours, and care delivery, as well as the related revenue, is reduced overall.
We approach transformation with a simple equation. It all begins with AI and machine learning to squeeze the most from your assets. Next, AI and machine learning must be based on clean, reliable data otherwise predictive analytics will be inaccurate. If we stopped at predictions, then manual work would still be necessary every single day — so we add automation. Our solutions seamlessly fit into the workflows of hospital leaders, clinicians, and staff, removing manual and burdensome work. Finally, to ensure that users are comfortable using our solutions and getting the most out of them, our “Transformation as a Service” offering provides each customer with a dedicated team for the duration of our relationship. This team of world class experts includes process improvement consultants, clinical leaders, and data scientists who are laser-focused on helping customers drive change management, establish systemwide governance, and ensure ongoing success.
When you add it all up, these three magic ingredients result in transformational outcomes, like adding 2-4 more cases/OR/month, and 6+ new patients/bed and $20k/infusion chair annually.
Our iQueue products help hospitals, health systems, and infusion centers tackle their most urgent challenges, including staff shortages, rapidly rising patient demands, and poor utilization.
Free up capacity during prime time hours and establish a credible, surgeon-centric, and transparent system to improve open time and surgical block utilization.
Optimize infusion scheduling, level-load patient flow, and improve experience for patients and staff alike.
Predict patient surges, pinpoint barriers, and prioritize discharges so care teams can proactively and effectively manage bed availability, patient throughout, and staffing need.
Make proactive, data-driven decisions for patient flow, scheduling, command center, block management, staffing, and other capacity management use cases across both inpatient and outpatient settings.
5,600
ORs at
100 health systems
16,000
Infusion chairs at
over 800 infusion centers
28,000
Inpatient beds at over
100 hospitals
When patients don’t wait weeks for a chemotherapy appointment and nurses don’t work overtime and surgeons don’t worry about block time, it can feel like magic. In reality, it’s math.
Healthcare, like airlines or package delivery companies, has a demand pattern that is very difficult to predict and a constrained set of specialized assets that is difficult to reposition. Therefore, accurately predicting patient demand with enough lead time to adequately match the supply, including staff, rooms, and equipment, is both extremely challenging and critical to achieve.
Synchronizing a series of independent services involves an understanding of esoteric fields such as network optimization and directed acyclic graph theory; this is absent from a hospital’s typical construction of the patient itinerary across the set of clinical services that make up a patient encounter.




Take the first step towards unlocking capacity, generating ROI, and increasing patient access.
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.
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.