Multi-Agents Based Coordinated Scheduling in Hospitals

Abstract

Abstract Patient Scheduling is the process of scheduling the patients by creating an optimal schedule for the patients in using the resources in hospitals. The real time scheduling with various constraints like emergency situations like accident case makes this problem complex. The manually scheduling algorithms and the traditional approaches needs more coordination, time and manpower to achieve its efficiency. Agents are a natural choice because they are known to represent a distributed environment well and they are capable of coordinating with each other in dynamic environment. The architectural components like Belief that maintains the internal state of the system, Desires that represents the motivational state of the agent and Intentions that helps to deliberate the state of the goal make this autonomous system adaptable and fault tolerant. In the proposed system each resources and patient is constructed to be software agents, which has the ability to coordinate among them. The optimal schedule is calculated in minimal time using the Genetic Algorithm (GA), an efficient search-based optimization technique. When a patient arrives, he/she is served by a common agent where the priority, resource requirement, processing time, and sequence are assigned to each patient. Hence in this highly dynamic domain optimal schedule generation with minimal time and hardware/software requirements will provide the customers satisfaction with their visit to the hospitals.