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Simulation and optimization models for emergency medical systems planning.

Andrea Bettinelli1, Roberto Cordone2, Federico Ficarelli3

  • 1Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione, UniversitĂ  degli Studi di Bologna, Bologna, Italy.

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Summary
This summary is machine-generated.

This study optimizes emergency medical systems (EMS) by determining ambulance deployment, managing non-urgent requests, and finding cost-effective rental contracts. It provides a strategic planning framework for efficient emergency response.

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Area of Science:

  • Operations Research
  • Healthcare Management
  • Public Health

Background:

  • Emergency Medical Systems (EMS) face complex strategic planning challenges.
  • Optimizing resource allocation is crucial for timely emergency response.
  • Balancing demand, cost, and service levels is a key operational issue.

Purpose of the Study:

  • To develop analytical models for strategic decision-making in EMS.
  • To address critical planning problems including ambulance deployment, request prioritization, and resource acquisition.
  • To minimize costs while ensuring appropriate response times for emergency medical services.

Main Methods:

  • Queuing theory for demand and service analysis.
  • Discrete-event simulation for dynamic system modeling.
  • Integer linear programming for resource allocation and contract optimization.

Main Results:

  • Models were developed to optimize ambulance deployment based on forecasted demand and response times.
  • Strategies for managing non-urgent requests to preserve resources for urgent cases were analyzed.
  • An optimal mix of ambulance rental contracts was identified to minimize operational costs.

Conclusions:

  • The proposed analytical models provide effective decision support for EMS strategic planning.
  • The study demonstrates the feasibility of optimizing EMS operations using quantitative methods.
  • Findings offer practical insights for improving the efficiency and cost-effectiveness of emergency medical services.