Data-Driven Design Strategies to Address Crowding and Boarding in an Emergency Department: A Discrete-Event Simulation Study

HERD. 2021 Apr;14(2):161-177. doi: 10.1177/1937586720969933. Epub 2020 Nov 11.

Abstract

Objective: To address prolonged lengths of stay (LOS) in a Level 1 trauma center, we examined the impact of implementing two data-driven strategies with a focus on the physical environment.

Background: Crowding in emergency departments (EDs) is a widely reported problem leading to increased service times and patients leaving without being seen.

Methods: Using ED historical data and expert estimates, we created a discrete-event simulation model. We analyzed the likely impact of initiating care and boarding patients in the hallway (hallway care) instead of the exam rooms and adding a dedicated triage space for patients who arrive by emergency medical services (EMS triage) to decrease hallway congestion. The scenarios were compared in terms of LOS, time spent in exam rooms and hallway spaces, service time, blocked time, and utilization rate.

Results: The hallway care scenario resulted in significantly lower LOS and exam room time only for EMS patients but when implemented along with the EMS triage scenario, a significantly lower LOS and exam room time was observed for all patients (EMS and walk-in). The combination of two simulated scenarios resulted in significant improvements in other flow metrics as well.

Conclusions: Our findings discourage boarding of admitted patients in ED exam rooms. If space limitations require that admitted patients be placed in ED hallways, designers and planners should consider enabling hallway spaces with features recommended in this article. Alternative locations for boarding should be prioritized in or out of the ED. Our findings also encourage establishing a triage area dedicated to EMS patients in the ED.

Keywords: EMS triage; boarding; crowding; discrete-event simulation; emergency department design; hallway space; length of stay.

MeSH terms

  • Crowding*
  • Emergency Service, Hospital*
  • Hospitalization
  • Humans
  • Length of Stay
  • Triage