Optimal Emergency Department Setups to increase Daily Patient Volumes during Uncommon Illness Surges

High-throughput analytical methods to accelerate triage-to-disposition processes

The current pandemic has already saturated bed capacity and created additional availability delays for critical resources such as healthcare professionals, medical equipment, and the overall triage-to-disposition processing time. Like in the past, this has resulted in excess lengths-of-stay and costs to US hospitals.

Most of the current segmented approaches prioritize managing the patient versus managing the healthcare system (involving nurses, attending physicians, and triage-to-disposition process steps). They often use static data that focus on localized metrics such as length-of-stay to measure daily patient throughput (rate) capabilities.

In this White Paper, we discuss how by modeling the flow of patients within the complete system and analyzing the cause and effects of disruptions to the system, our proposed solution can anticipate and pinpoint the bottlenecks at any given time across multiple dimensions. 

We share how Emergency Departments can:

1. Use an AI-based solution to flag root causes faster, prioritize/assign certain staff members to improve treatment flow, and reduce variance caused by training or skill set-related factors.
   
   
2. Highlight solutions that are most likely to alleviate the problem, granularly, and at scale.
3. Removing the root causes of delay, up to 20% more patients can be treated within the existing capacity of the processes & with the available resources.