Using AI to Fix Broken Math and Optimize Capacity of Expensive Healthcare Assets: The CIO’s Role in Facilitating the Transformation
COVID-19 continues to magnify how inefficient capacity management impacts delivery of and access to high-quality care. Having enough ICU capacity and specific floor beds available, being able to continue to perform elective surgeries, and adjusting the staff and nursing roster dynamically to avoid burnout are issues that have never been more important. But why do health systems find it so hard to address these issues even during “normal” times let alone during a crisis?
The foundational math of capacity management, matching supply with demand, is broken. Existing tools and processes need to be fundamentally revamped for health systems to overcome waves of COVID-19 and similar shocks in the future, to maximize use of their assets, creating value for patients and themselves. The key is creating a culture of innovation in the organization; deploying proven and scalable AI-driven, intelligent, virtual, and distributed systems. The results? 90% confidence in critical inpatient bed capacity management, 8% decrease in opportunity days (difference between Med/Surg LOS & CMS LOS), less chaos, less burnout, and less provider alarm fatigue.
Hear from the LeanTaaS CEO and UCHealth CIO and learn how to outfit EHRs to better support hospitals' real-time decision making. Understand how IT leadership can lead digital transformation around capacity management, resulting in notable improvements in operational and financial performance as well as better patient and staff experience.
Learning Objectives
- Identify the current challenges of capacity management - underlying math to match supply with demand - for health systems to maximize the use of assets to create value for patients and themselves.
- Understand how AI-driven, intelligent systems can optimize the matching of supply and demand - during both “crisis” and “normal” times, without the extensive capital and resources needed by a command center.
- Describe how UCHealth taps into knowledge from IT platforms to improve census predictions and real-time decisions about patient placement, staffing, surges and diversion prevention.