|
|
Digital Library of the
European Council for Modelling and Simulation |
|
Title: |
Genetic
Algorithm For Process Optimization In Hospitals |
|
Authors: |
Matthias Kühn, Tommy Baumann, Horst Salzwedel |
|
Published in:
|
(2012).ECMS
2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann.
European Council for Modeling and Simulation. doi:10.7148/2012 ISBN:
978-0-9564944-4-3 26th
European Conference on Modelling and Simulation, Shaping reality through simulation Koblenz,
Germany, May 29 – June 1 2012 |
|
Citation
format: |
Kühn, M., Baumann, T., &
Salzwedel, H. (2012). Genetic Algorithm For Process Optimization In
Hospitals. ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann (pp. 103-107). European Council for Modeling
and Simulation. doi:10.7148/2012-0103-0107 |
|
DOI: |
http://dx.doi.org/10.7148/2012-0103-0107 |
|
Abstract: |
In 2004 new reimbursement policies
for hospitals based on Diagnosis Related Groups (DRGs) were introduced in
Germany. These force hospitals to minimize the cost of treatment and improve
quality of care, in order to attract more patients and become more
competitive. To achieve these goals hospital processes need to be optimized
and compared with processes in competing hospitals. Regarding this, the
scheduling of patient treatment poses a huge challenge. For purpose of
analysis, optimization and validation of hospital processes - especially
interaction of processes and effects of interconnection - it is necessary to
develop validated and executable models. In (Salzwedel et. al. 2007) the
processes of a cancer treatment center were modeled and optimized. This paper
describes our developments toward automatically optimizing scheduling of
patients, reducing processing time and optimizing resource usage in a cancer
center using genetic algorithms. |
|
Full
text: |
|
