A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit

Area of Science:

• Healthcare Management
• Operations Research
• Emergency Medicine

Background:

• Effective resource allocation in emergency departments (EDs) is critical for service quality and operational performance.
• Suboptimal decisions regarding ED resources can lead to severe consequences for patient care.
• This study focuses on optimizing ED resource combinations to improve patient flow and reduce wait times.

Discussion:

• A meta-modeling optimization approach was employed to identify the most effective resource configurations within the ED.
• The study investigated the impact of various resources, including staffing levels and bed capacity, on patient wait times.
• The goal was to determine an optimal mix of resources that minimizes patient waiting periods.

Key Insights:

• The number of community health workers (CHWs) and available beds were identified as significant factors influencing total average patient wait time in the ED.
• While other variables showed less statistical significance, they were included in the model to find a comprehensive optimal resource combination.
• The simulation model provided actionable data for hospital managers to refine ED operations.

Outlook:

• The findings support the redesign of admission-to-discharge procedures in EDs to enhance overall efficiency.
• A specific optimized configuration (2 CHWs, 1 Receptionist, 1 Nurse, 3 Cardiologists, 10 Beds) resulted in a 49.6% reduction in wait time (142 minutes) and a 51% decrease in resource costs.
• This simulation-based approach offers valuable insights for budget-conscious resource management and strategic planning in emergency care settings.