<div class="csl-bib-body">
<div class="csl-entry">Wurzer, G., Dolesch, L., Wippel, H., & Guggenbichler, B. (2021). SmartScale-A-Hospital. In D. Gerber, A. Bartosh, A. Sawyer, & M. Schwartz (Eds.), <i>Proceedings of the 12th Annual Symposium on Simulation for Architecture and Urban Design</i>. Society for Computer Simulation International. http://hdl.handle.net/20.500.12708/189097</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/189097
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dc.description.abstract
As we have seen during the SARS-COV-2 pandemic, it is vital to reserve enough intensive care capacities so that both regular and infected patients can be treated. Hospitals have increased their intensive care resources by re-purposing beds and deferring non-vital treatments, thus freeing up medical staff for work in infectious wards or as a backup. However, this re-allocation has been conducted in a best-effort manner, using rough estimates rather than more formal quantitative methods. In our work, we have tried to produce a whole-hospital simulation that allows assessing the effects of capacity re-allocation in regular and pandemic operational contexts. As result, we are able to get a better insight into how many resources are needed and what can be allocated to other purposes.
en
dc.language.iso
en
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dc.subject
Applied computing
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dc.subject
Forecasting
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dc.subject
Health care information systems
en
dc.subject
Computing methodologies
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dc.subject
Agent / discrete models
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dc.title
SmartScale-A-Hospital
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
GSM GmbH, Österreich
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dc.contributor.affiliation
GSM GmbH, Österreich
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dc.contributor.affiliation
Krankenhaus St. Vinzenz Zams, Österreich
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dc.contributor.editoraffiliation
Syracuse University, United States of America (the)
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dc.contributor.editoraffiliation
Carnegie Mellon University, United States of America (the)
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dc.contributor.editoraffiliation
New Jersey Institute of Technology, United States of America (the)
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dcterms.dateSubmitted
2020-12
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dc.rights.holder
Gabriel Wurzer (TU Wien), Lukas Dolesch (GSM GmbH) und Bernhard Guggenbichler (KH Zams)
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings of the 12th Annual Symposium on Simulation for Architecture and Urban Design
