Optimizing Emergency Medical Service Structures Using a Rule-Based Discrete Event Simulation-A Practitioner's Point...

Area of Science:

• Operations Research
• Healthcare Management
• Simulation Modeling

Background:

• Optimizing emergency medical services (EMS) is crucial at both operational and strategic levels.
• Existing methods often lack a comprehensive approach to address complex EMS challenges.
• The need for efficient and cost-effective solutions in prehospital care is paramount.

Purpose of the Study:

• To introduce and explain the features of a novel rule-based discrete event simulation (DES) method.
• To demonstrate the application of rule-based DES in optimizing EMS operations.
• To highlight the method's utility in decision support for improving regional emergency services.

Main Methods:

• Development of a rule-based discrete event simulation (DES) framework.
• Application of DES to address ambulance location, relocation, dispatching, and routing.
• Analysis of EMS interplay with other prehospital care providers.
• Case studies from Germany and Switzerland illustrating practical implementation.

Main Results:

• Rule-based DES effectively addresses key EMS operational questions.
• The simulation method provides decision support for enhancing regional emergency service efficiency.
• Successful application in Germany and Switzerland demonstrates adaptability to federal structures.
• Identified opportunities for cost-neutral improvements in EMS performance.

Conclusions:

• Rule-based DES is a valuable tool for optimizing emergency medical services.
• Interactions between EMS, emergency departments, and public healthcare agencies are vital for improving care quality.
• Simulation-based methods offer normative solutions for enhancing EMS effectiveness and efficiency within healthcare structures.