Technological innovations have made possible the design of intelligent and interoperable systems to enable distributed systems' cooperation and interoperability while providing real-time monitoring and control of analytical processes. In this direction, different sensing and networking technologies have been proposed in the literature, and many Artificial Intelligent (AI) methods are used to convert systems into intelligent systems. A multi-agent system comprises intelligent software agents that can perform a specific objective autonomously by interaction and coordinated task control. This interaction enables the distributed cooperative control of the system. This study aims to design well defined integrated multi-agent-based hospital emergency service environment with the self-decision-making capability to increase service quality. The proposed performance management model ensures that the system's management success level is measured by associating the performance of the emergency service process with the operations involved in the process. In the proposed model, goal-based learning and adaptability are defined not only to meet the new solution for performance management but also to follow this service's goals. Besides, it provides information and a prototype framework of a dynamic, flexible, and intelligent emergency service system model integrating various operations.
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