June 4-5, 2024
With tight margins and staffing shortages continuing to impact care delivery, it’s critical for hospital decision makers to learn how to reshape operations with AI-powered solutions that unlock scarce capacity in operating rooms, inpatient bed units, and infusion centers.
At Transform, 7,000+ virtual attendees joined to hear real-life case studies presented by leading health systems, on how they are optimizing expensive assets, increasing patient access, closing the staffing gap, and delaying capital expenditures with cutting-edge AI/ML solutions. Watch all sessions on demand, below.
7K+
Registrants
5K+
Decision Makers
2K+
Hospitals
400+
Health Systems


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.
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.
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.