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@InProceedings{Giesen09ECIS,
  author = "Erik Giesen and Wolfgang Ketter and Rob Zuidwijk",
  title = "An Agent-based Approach to Improving Resource Allocation
           in the Dutch Youth Health Care Sector",
  booktitle = "Proceedings of the European Conference on Information Systems (ECIS)",
  pages =   "2403--2415",
  year = "2009",
  address =  {Verona, Italy},
  month =    {July},
  abstract={We show how agent-based simulation is used for analyzing different queuing
            strategies in the youth health care sector. The simulation model represents
            an authentic business case and is parameterized with actual market data. We
            discuss the differences between four queuing strategies which are based on
            push/pull allocation and centralized/decentralized queuing strategies.
            The model incorporates, among others, a withdrawal and return mechanism, a
            non-stationary Poisson arrival process, and a preference algorithm to
            include a care provider's case preference. The investigated system accommodates
            extensive waiting lines which are currently solely judged on their length. We
            have identified that performance measurement in youth health care should not be
            focused on queue lengths alone, but should include a case urgency parameter as well.
            The simulation results, together with contextual data obtained from stakeholder
            interviews, indicate that a push strategy with a centralized queue suites the sector
            best. Most related research in health care focuses on queuing theory which fails to
            address the complexity of the case. Our simulation approach incorporates additional
            complexities of the case at hand which turn out to be relevant for the queuing
            strategy decision. We validate the model and strategies by comparison with real market
            data and field expert discussions.},
  bib2html_pubtype = {Refereed Conference},
  bib2html_rescat = {Agents: Health Care},
}