This first-of-its-kind, generative AI solution for hospital operations. It provides hospital leaders with human-like conversations and actionable insights to support decision-making for patient flow, scheduling, command center, block management, staffing, and other capacity management use cases. This tool can answer specific operational questions, summarize key reports, and understand clinical abbreviations, making it an intelligent assistant for hospital staff. It’s like a member of the LeanTaaS team is with each and every customer 24/7.
Remove mundane, repetitive tasks
Reduce staff burnout
and fatigue
Close the staffing
gap challenge
LeanTaaS’ unique combination of award-winning AI, the largest hospital operations dataset, and team of change management experts will deliver a best-of-breed generative AI solution that unlocks “air traffic control” for health systems. The iQueue Autopilot prototype, tested by beta customers, will provide digital assistance that drives actions through three different methods including:
The “Lean Forward” method allows decision makers to Ask iQueue for best practices and recommendations on capacity optimization management. As an example, nurses can Ask iQueue for up-to-the-minute staffing recommendations, hospital administrators can discuss case volume shifts, and perioperative leaders can chat with the solution about OR block and infusion center utilization best practices. Human-like conversations take place via desktop, smartphones, and tablets.
The “Lean Back” method of iQueue Autopilot proactively alerts decision makers throughout the day to potential issues, like scheduling and staffing roadblocks. After flagging, the solution provides the user with best approaches and tangible recommendations on how to approach and solve issues. Flags are sent through email, SMS, and third-party messages.
This method provides real-time notifications to create awareness and action to a potential medical or operational issue. Decision makers can be notified of a risk in operating room, inpatient, and infusion areas if the solution detects deviations from standard processes and will provide mitigation recommendations before issues arise. This provides operational leaders, staff, and clinicians with the information needed to proactively flex other assets and resources to avoid any potential safety issues.
Learn more about iQueue Autopilot, and how generative AI can transform your hospital operations. LeanTaaS C-suite, data scientists and product managers will help you navigate this exciting technology opportunity for your organization.
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.