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Aggregation of Hospital Business Processes

Author

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  • Meier, Markus

    (University of Basel)

  • Rosenkranz, Friedrich

Abstract

There are estimates that up to 30% of hospital costs are due to inefficiently coordinated hospital processes. As a result many hospitals have tried to model and to reengineer their business processes. These efforts have very often been abandoned, because the normally constructed total models of hospital processes could hardly cope with the rapid technological and medical progress as well as with changing staff. We discuss approaches for a qualitative and quantitative process modularization which improve the understanding of processes and enables better planned simulations. Various methods are discussed which allow a qualitative modularization on the basis of a disaggregated process graph. To cope with this modularization numerically simple semi-stochastic formulas are developed for the calculation of expected values and variances of cycle times and costs from micro-data up to the modular level. Thus a qualitative as well as quantitative discussion of hospital business processes on the modular level become possible.

Suggested Citation

  • Meier, Markus & Rosenkranz, Friedrich, 2011. "Aggregation of Hospital Business Processes," Working papers 2011/08, Faculty of Business and Economics - University of Basel.
  • Handle: RePEc:bsl:wpaper:2011/08
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    File URL: https://edoc.unibas.ch/61217/1/20180305165420_5a9d682c980e2.pdf
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    References listed on IDEAS

    as
    1. Stephan Aier & Robert Winter, 2009. "Virtual Decoupling for IT/Business Alignment – Conceptual Foundations, Architecture Design and Implementation Example," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(2), pages 150-163, April.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    OR in health care service; graph theory; business process reengineering; stochastic processes; simulation;
    All these keywords.

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