Djanatliev A (2015)
Publication Language: English
Publication Type: Authored book, Monography
Publication year: 2015
Publisher: Dr. Hut
City/Town: München
Edition: 1
ISBN: 978-3-8439-2365-1
URI: https://www.dr.hut-verlag.de/9783843923651.html
Demographic changes, new technical opportunities, and a growing global demand for
healthcare services are only three reasons why several decision-makers in healthcare
are faced with numerous challenges. In particular, due to an improved life expectancy
and the population aging, the health industry is getting highly essential for the
economic growth in the future and the competitiveness at global markets. Making
decisions in healthcare is usually a non-trivial task. It can be compared to a situation
where “everything affects everything else” and no clear boundaries exist. In other
words, an apparently harmless decision can affect stable things implicitly, and by the
same token, costs savings on the one side can produce additional costs somewhere
else. However, it is important to make decisions very fast in order to save people from
severe damages and to profit from new innovative technologies. This is the reason
why powerful tools for decision-making in healthcare are required.
This work describes a hybrid simulation approach that can be used within the
scope of prospective healthcare decision-support. In particular, it will be explained
how established simulation methods, such as System Dynamics, the process-oriented
Discrete-Event Simulation and the Agent-Based Simulation, can be used to develop
common models at different levels of abstraction. In this context we highlight a
modular hybrid simulation environment, modeling issues describing the human
behavior, and design aspects in typical decision-making situations. Furthermore, we
introduce the implementation of several concepts in the HealthDS Framework and
discuss two most representative case studies.
APA:
Djanatliev, A. (2015). Hybrid Simulation for Prospective Healthcare Decision-Support: System Dynamics, Discrete-Event and Agent-Based Simulation. München: Dr. Hut.
MLA:
Djanatliev, Anatoli. Hybrid Simulation for Prospective Healthcare Decision-Support: System Dynamics, Discrete-Event and Agent-Based Simulation. München: Dr. Hut, 2015.
BibTeX: Download