Artificial immune systems for intelligent nurse rostering

Author

Lo, C.-C. ; Lin, C.-C. ; Wang, C.-T. ; Dai, T.-J. ; Wong, D.

Author_Institution

Fo Guang Univ., Yilan

fYear

2007

fDate

2-4 Dec. 2007

Firstpage

862

Lastpage

866

Abstract

Nurse rostering is an essential and important task for hospital administration. In this paper, an intelligent nurse rostering system is proposed by using two types of artificial immune systems, CLONALG and aiNet, as the intelligent mechanisms. The performance of both artificial immune systems is examined, and the results indicate that both artificial immune systems provide good intelligent solutions to solve nurse rostering problems efficiently and effectively. In addition, it is also found that CLONALG is a more efficient intelligent nurse rostering mechanism when time-consuming what-if analysis is frequently needed.

Keywords

artificial immune systems; medical administrative data processing; CLONALG; aiNet; artificial immune systems; hospital administration; intelligent nurse rostering; what-if analysis; Artificial immune systems; Artificial intelligence; Computer science; Databases; Decision support systems; Hospitals; Informatics; Intelligent systems; Machine learning algorithms; Medical services; artificial immune system; hospital administration; intelligent scheduling; nurse rostering;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management, 2007 IEEE International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-1529-8

Electronic_ISBN

978-1-4244-1529-8

Type

conf

DOI

10.1109/IEEM.2007.4419313

Filename

4419313