A SOA-based intelligent system for nurse rostering

Author

Lo, Chih-Chung ; Wang, Cheng-Tzu ; Huang, Ching-Kuei

Author_Institution

Dept. of Appl. Inf., Fo Guang Univ., Yilan, Taiwan

Volume

5

fYear

2012

fDate

15-17 July 2012

Firstpage

1768

Lastpage

1773

Abstract

Currently the crisis in hospital management is forcing hospital executives to operate their organizations in a more business-like manner. Nurse rostering problem (NRP) is an important on-going staff scheduling problem with multiple decision criteria to be considered in order to provide a high-quality healthcare service, to which today´s hospital administrations are paying great attention. In this research, the design of an intelligent decision support system, based on guidelines of Service-Oriented Architectures (SOA), is proposed to help solve nurse rostering problems with high flexibility, efficiency and effectiveness. The design uses three evolutionary computation algorithms (AIS, GA, and PSO) as exchangeable intelligent planning and scheduling mechanisms for rostering nursing staffs.

Keywords

decision support systems; evolutionary computation; health care; medical administrative data processing; planning (artificial intelligence); scheduling; service-oriented architecture; AIS; GA; PSO; SOA-based intelligent system; evolutionary computation; high-quality healthcare service; hospital administrations; hospital management; intelligent decision support system; intelligent planning; multiple decision criteria; nurse rostering problem; service-oriented architectures; staff scheduling; Abstracts; Databases; Artificial Immune System (AIS); Genetic Algorithm (GA); Particle Swarm Optimization (PSO); Service-Oriented Architectures (SOA); Support System;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2012 International Conference on

Conference_Location

Xian

ISSN

2160-133X

Print_ISBN

978-1-4673-1484-8

Type

conf

DOI

10.1109/ICMLC.2012.6359643

Filename

6359643