Predicting hospital bed utilisation for post-surgical care by means of the Monte Carlo method with historical data
Article
Article Title | Predicting hospital bed utilisation for post-surgical care by means of the Monte Carlo method with historical data |
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ERA Journal ID | 13431 |
Article Category | Article |
Authors | Wong, Andy, Eley, Rob, Corry, Paul, Hoad, Brendan and Yarlagadda, Prasad |
Journal Title | Australian Health Review |
Journal Citation | 48 (6), pp. 642-647 |
Number of Pages | 6 |
Year | 2024 |
Publisher | CSIRO Publishing |
Place of Publication | Australia |
ISSN | 0156-5788 |
1449-8944 | |
Digital Object Identifier (DOI) | https://doi.org/10.1071/AH24160 |
Web Address (URL) | https://www.publish.csiro.au/AH/AH24160 |
Abstract | Objective Methods Results Conclusions |
Keywords | clinical decision support; computer simulation; hospital bed management; hospital bed prediction; hospital length of stay; Monte Carlo method; operations research; post-surgical care |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 420699. Public health not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Princess Alexandra Hospital, Australia |
University of Queensland | |
Queensland University of Technology | |
Children’s Health Queensland Hospital and Health Service, Queensland | |
School of Engineering |
https://research.usq.edu.au/item/zqzv3/predicting-hospital-bed-utilisation-for-post-surgical-care-by-means-of-the-monte-carlo-method-with-historical-data
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