%0 Journal Article
%T A Distributed Optimized Patient Scheduling using Partial Information
%A G. Mageshwari
%A E. Grace Mary Kanaga
%J International Journal of Artificial Intelligence & Applications
%D 2012
%I Academy & Industry Research Collaboration Center (AIRCC)
%X A software agent may be a member of a Multi-Agent System (MAS) which is collectively performing arange of complex and intelligent tasks. In the hospital, scheduling decisions are finding difficult to schedulebecause of the dynamic changes and distribution. In order to face this problem with dynamic changes in thehospital, a new method, Distributed Optimized Patient Scheduling with Grouping (DOPSG) has beenproposed. The goal of this method is that there is no necessity for knowing patient agents informationglobally. With minimal information this method works effectively. Scheduling problem can be solved formultiple departments in the hospital. Patient agents have been scheduled to the resource agent based on thepatient priority to reduce the waiting time of patient agent and to reduce idle time of resources.
%K Patient Scheduling
%K Multi-Agent System
%K Software Agent
%K Distributed Computing
%U http://airccse.org/journal/ijaia/papers/3312ijaia07.pdf