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@InProceedings{Giesen09WITS,
  author = "Erik Giesen and Wolfgang Ketter and Rob Zuidwijk",
  title = "An Agent-based Analysis Approach to Resource Allocation in the Dutch Youth Health Care System",
  booktitle = "Proceedings of the Nineteenth Workshop on Information Systems and Technology (WITS-09)",
  pages =   "-",
  year = "2009",
  address =  {Phoenix, Arizona, USA},
  month =    {December},
  abstract={We study the effect of using different patient allocation
  preference behaviors in the Dutch youth health care sector by performing
  sensitivity analysis on an agent-based simulation model. This model is based
  on an authentic business case and is parameterized with real world market
  data. This is in contrast with most related research in health care where
  methods such as queuing theory are applied that fail to address the
  complexity of the health care industry. Indeed, our simulation approach
  addresses the complexities of the patient allocation that were found in the
  real world case and incorporates, among others, a withdrawal and return
  mechanism, a non-stationary Poisson arrival process, and an algorithm to
  include the preference behavior of the care providers. The analysis further
  includes various benchmarks such as an empirical preference algorithm based
  on discussions with field expert to match the real world scenario, and based
  on rational decision rules. In particular, we compare the performance when
  the patient allocation preference is either based solely on waiting time or
  solely on expected treatment time or a combined approach. We discuss the
  impact of choosing one preference model above the other when studying real
  world behavior by means of simulation and show that the effect of using a too
  simplistic preference algorithm in analysis can results in invalid
  conclusions or unacceptable recommendations.},
  bib2html_pubtype = {Refereed Workshop/Symposium},
  bib2html_rescat = {Agents: Health Care},
}