Estimating capacity and resource allocation in healthcare settings using business process modelling and simulation

  • G. A. Redeker UNISC / HBB
  • T. Webber UNISC
  • R. M. Czekster UNISC
  • S. Quickert University of St Andrews
  • J. K. F. Bowles University of St Andrews

Abstract


Healthcare involves complex decision making from planning to resource management. Resources in hospitals are usually allocated by experienced managers, however, due to an inherent process complexity, decisions are surrounded by uncertainties, variabilities, and constraints. Information Systems must be robust enough to provide support to stakeholders, capable of controlling and support work flows. The present work explores the required synergy when combining business processes with discrete event simulation. The objective is to estimate performance indices and address capacity management of a surgical center as a case study.

References

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Khalifa, M. and Khalid, P. (2015). Developing Strategic Health Care Key Performance Indicators: A Case Study on a Tertiary Care Hospital. Procedia Computer Science, vol. 63, pp 459-466.

Rossetti, M. D. Simulation Modeling and Arena. (2009). Wiley Press, 2nd Edition.
Published
2017-07-02
REDEKER, G. A.; WEBBER, T.; CZEKSTER, R. M.; QUICKERT, S.; BOWLES, J. K. F.. Estimating capacity and resource allocation in healthcare settings using business process modelling and simulation. In: BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTH (SBCAS), 17. , 2017, São Paulo. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2017 . p. 1979-1982. ISSN 2763-8952. DOI: https://doi.org/10.5753/sbcas.2017.3712.