A Multi Agent Based Approach for Prehospital Emergency Management

Area of Science:

• Healthcare Informatics
• Artificial Intelligence
• Systems Engineering

Background:

• Prehospital emergency medical services involve complex, dynamic processes.
• Current systems may lack the sophistication for optimal real-time decision-making.
• Timely and appropriate categorization of care is crucial for patient outcomes.

Purpose of the Study:

• To develop and demonstrate an automated architecture for prehospital emergency management.
• To categorize specialized care needs based on real-time situational analysis.
• To reduce patient mortality and morbidity through optimized emergency response.

Main Methods:

• Analysis of existing prehospital emergency management systems and frameworks.
• Process modeling using sequence diagrams (Rational Rose) and component diagrams.
• Simulation of the proposed architecture using Anylogic software with Agent Model, State Chart, and Process Model.

Main Results:

• A conceptual architecture for prehospital emergency management was proposed.
• The architecture utilizes a multi-agent system (MAS) approach.
• Key agents identified include EMS Center, Ambulance, Healthcare Provider, and National Medical Record System.

Conclusions:

• Multi-agent systems are effective for complex, dynamic environments like prehospital care.
• The proposed architecture addresses sophisticated processes including navigation, resource assignment, and real-time monitoring.
• Future work involves implementation and evaluation of the architecture's impact on patient care quality.