Using AI to Fix Broken Math and Optimize Capacity of Expensive Healthcare Assets: How the CIO Can Lead the Transformation
The underlying 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 systems. Explore the how and why of this digital transformation around capacity management and improvements to operational and financial performance of hospitals, to deliver a better patient and staff experience. Learn how health systems, like UCHealth, are increasingly turning to data and predictive analytics tools to better manage the supply and demand relationship.
- Explore 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.
- Learn 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.
how UCHealth taps into knowledge from IT platforms to improve census
predictions and real-time decisions about patient placement, staffing, surges
and diversion prevention.
Mohan Giridharadas, Founder
& CEO, LeanTaaS
Steven Hess, Chief Information Officer, UCHealth
Start Date: 09/15/2021
Event Type: Archived , CHIME LIVE Webinar