A discrete event simulation model of a hospital for prediction of the impact of delayed discharge
A discrete event simulation model of a hospital for prediction of the impact of delayed discharge
Patients who have additional care needs after a stay in hospital can often experience delays in being discharged. These delayed discharges and their impact on the smooth running of hospitals has been well publicised in the UK in recent years. In this preliminary work, we build a discrete event simulation model to describe the process of a patient leaving the hospital. Based on a proposed plan for Southampton, we investigate the impact of providing intermediate care in the form of Discharge to Assess places on the number of patients who remain in hospital longer than necessary. We describe the model, a sensitivity analysis and preliminary results.
delayed discharge, discrete Event Simulation, hospital, social care
240-249
Operational Research Society
Boyle, Laura M.
586956f2-ae17-48cb-bc15-687542bf0651
Currie, Christine S.M.
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Fernandez, Carlos Lamas
e96b5deb-74d5-4c9b-a0ce-448c99526b09
Nguyen, Ly
099722cf-fba4-44ba-a7c0-8f9a562db9b2
Halpenny, Clare
e10e4158-f9c0-4e1b-a8cb-b31222d165d3
29 March 2023
Boyle, Laura M.
586956f2-ae17-48cb-bc15-687542bf0651
Currie, Christine S.M.
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Fernandez, Carlos Lamas
e96b5deb-74d5-4c9b-a0ce-448c99526b09
Nguyen, Ly
099722cf-fba4-44ba-a7c0-8f9a562db9b2
Halpenny, Clare
e10e4158-f9c0-4e1b-a8cb-b31222d165d3
Boyle, Laura M., Currie, Christine S.M., Fernandez, Carlos Lamas, Nguyen, Ly and Halpenny, Clare
(2023)
A discrete event simulation model of a hospital for prediction of the impact of delayed discharge.
Currie, Christine and Rhodes-Leader, Luke
(eds.)
In Proceedings of the 11th Simulation Workshop, 2023 (SW23).
Operational Research Society.
.
(doi:10.36819/SW23.029).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Patients who have additional care needs after a stay in hospital can often experience delays in being discharged. These delayed discharges and their impact on the smooth running of hospitals has been well publicised in the UK in recent years. In this preliminary work, we build a discrete event simulation model to describe the process of a patient leaving the hospital. Based on a proposed plan for Southampton, we investigate the impact of providing intermediate care in the form of Discharge to Assess places on the number of patients who remain in hospital longer than necessary. We describe the model, a sensitivity analysis and preliminary results.
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Published date: 29 March 2023
Additional Information:
Funding Information:
LY NGUYEN is a research fellow supported by the NIHR at the University of Southampton. Ly is interested in using optimisation techniques in health care, transportation and logistics applications. She has worked with mathematical programming and developed heuristic methods for applications such as container packing, vehicle routing, inventory routing, and planning and logistic in health care. Her email address is:
L.Nguyen@soton.ac.ukandherwebsiteishttps://www.southampton.ac.uk/people/5zbys6/doc-tor ly-nguyen.
The authors would like to thank the Isaac Newton Institute for Mathematical Sciences for support during the Virtual Forum for Knowledge Exchange in Mathematical Sciences (V-KEMS) study group on Communities for an Aging Society where preliminary work on this project was undertaken; in particular Dawn Wasley who was instrumental in managing the logistics for the workshop. This work was supported by EPSRC grant number EP/V521929/1. Clare Halpenny's role in this research was independent of her PhD research project which is funded by the Legal & General Group (research grant to establish the independent Advanced Care Research Centre at University of Edinburgh). The funders had no role in conduct of the study, interpretation, or the decision to submit for publication. The views expressed are those of the authors and not necessarily those of Legal & General.
Funding Information:
The authors would like to thank the Isaac Newton Institute for Mathematical Sciences for support during the VirtualForum for KnowledgeExchange in Mathematical Sciences (V-KEMS)study group on Communities for an Aging Society where preliminary work on this project was undertaken; in particular Dawn Wasley who was instrumental in managing the logistics for the workshop. This work was supported by EPSRC grant number EP/V521929/1. Clare Halpenny’s role in this research was independent of her PhD research project which is funded by the Legal & General Group (research grant to establish the independent AdvancedCare Research Centre at University of Edinburgh). The funders had no role in conduct of the study, interpretation, or the decision to submit for publication. The views expressed are those of the authors and not necessarily those of Legal & General.
Venue - Dates:
11th Simulation Workshop, National Oceanography Centre, Southampton, United Kingdom, 2023-03-27 - 2023-03-29
Keywords:
delayed discharge, discrete Event Simulation, hospital, social care
Identifiers
Local EPrints ID: 478016
URI: http://eprints.soton.ac.uk/id/eprint/478016
PURE UUID: d98eec31-9e93-4b53-bfd6-4b69106e4549
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Date deposited: 19 Jun 2023 16:58
Last modified: 18 Mar 2024 03:47
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Contributors
Author:
Laura M. Boyle
Author:
Carlos Lamas Fernandez
Author:
Ly Nguyen
Author:
Clare Halpenny
Editor:
Christine Currie
Editor:
Luke Rhodes-Leader
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