DocumentCode :
615310
Title :
Swarm intelligence for resource allocation of emergency situations in hospitals
Author :
Rathnayake, Heshani C. ; Adikari, Shalinda
Author_Institution :
Fac. of Inf. Technol., Univ. of Moratuwa, Moratuwa, Sri Lanka
fYear :
2013
fDate :
26-28 April 2013
Firstpage :
446
Lastpage :
451
Abstract :
This paper focuses on resource scheduling for patients at emergency department in hospitals. Scheduling and coordinating of patients at emergency department is faced with a high amount of complexity due to the inherent dynamics of the processes and the distributed organizational structure of hospitals. As a solution, multi-agent system is presented, in which patients, emergency department human resources and physical resources are represented as autonomous agents. These agents are able to react flexibly to changes and disturbances (e.g. emergencies and complications) through pro-activeness and reactivates. The solution is mainly focuses on emergency situations at hospitals. Emergency admission is when admission is unpredictable and at short notice because of clinical need. This paper describes a solution to overcome the difficulties that occurs at the emergency situations. The system has been developed on Jade environment and can run on any computer.
Keywords :
Java; emergency management; hospitals; human resource management; multi-agent systems; organisational aspects; resource allocation; scheduling; swarm intelligence; Jade environment; distributed organizational structure; emergency admission; emergency department; emergency department human resources; emergency situations; hospital resource allocation; multiagent system; patient coordination; patient scheduling; physical resources; resource scheduling; swarm intelligence; Computers; Databases; Hospitals; Reliability; Scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4673-4464-7
Type :
conf
DOI :
10.1109/ICCSE.2013.6553953
Filename :
6553953
Link To Document :
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