Towards a hospital-wide simulation framework

Melanie Reuter-Oppermann*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

In a hospital, there are many dependencies between different resources, processes, and departments. When changes are made to part, it is often very difficult to estimate the consequences for the rest of the hospital and it is unclear how far they stretch. While there is a tendency towards more integrated planning in hospitals, analysing the effects and benefits, especially for the whole hospital, is difficult. The aim of our research project is to design and build a simulation framework for a complete hospital including all departments, processes, and resources that allows for a hospital-wide analysis. By using a container-based approach, the integration of various simulation models for different departments and their interactions is possible. A simulation-wide event calendar and clock align the events and makes sure that the interaction between the individual sub-models is well-coordinated and stable. A first case study targets Tauranga Hospital in New Zealand.
Original languageEnglish
Title of host publicationProceedings of the 58th Hawaii International Conference on System Sciences, HICSS 2025
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages3350-3359
Number of pages10
Edition1
ISBN (Electronic)9780998133188
Publication statusPublished - 1 Jan 2025
Event58th Hawaii International Conference on System Sciences - Honolulu, United States
Duration: 7 Jan 202510 Jan 2025
Conference number: 58

Publication series

SeriesProceedings of the Annual Hawaii International Conference on System Sciences
ISSN1530-1605

Conference

Conference58th Hawaii International Conference on System Sciences
Abbreviated titleHICSS 2025
Country/TerritoryUnited States
CityHonolulu
Period7/01/2510/01/25

Keywords

  • discrete-event simulation
  • framework
  • healthcare
  • Hospital logistics
  • integrated planning

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