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VESAS: a solution to seasonal fluctuations in emergency department census

K N Shaw1, J M Lavelle

  • 1Division of Emergency Medicine, Children's Hospital of Philadelphia and University of Pennsylvania School of Medicine, Philadelphia, USA. shaw@email.chop.edu

Insights

A new staffing plan, Viral Epidemic Supplemental Attending and Staff (VESAS), successfully reduced emergency department wait times and patient departures without being seen during peak viral seasons.

Area of Science:

  • Emergency Medicine
  • Healthcare Management
  • Public Health

Background:

  • Viral epidemics significantly increase emergency department (ED) patient volume.
  • High patient volumes lead to prolonged waiting times and increased rates of patients leaving without being seen (LWBS).
  • Effective staffing and space allocation are crucial for managing patient flow during peak seasons.

Purpose of the Study:

  • To design and implement a flexible staffing and space allocation plan for EDs during viral epidemic seasons.
  • To reduce patient waiting times and the rate of LWBS.
  • To evaluate the effectiveness of the Viral Epidemic Supplemental Attending and Staff (VESAS) plan.

Main Methods:

  • A retrospective comparison of ED data from two consecutive viral seasons at a tertiary care children's hospital.
  • Implementation of the VESAS plan, which provided additional personnel and examination rooms activated by hourly census data.
  • Monitoring and comparison of LWBS rates, waiting times, and patient census before and after VESAS implementation.

Main Results:

  • The VESAS plan was activated on 32% of days during the intervention period.
  • The LWBS rate decreased by 37% (95% CI, 33% to 41%).
  • Average physician consultation wait time decreased by 15 minutes, with significant reductions for less acutely ill patients.

Conclusions:

  • The VESAS plan effectively reduced waiting times and LWBS rates in the ED during viral seasons.
  • The model's success is attributed to its ability to dynamically allocate resources based on real-time patient volume.
  • This approach offers a scalable solution for managing surges in ED demand.
Abstract

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