A discrete event simulation model of a hospital for prediction of the impact of delayed discharge

Laura M. Boyle; Christine S. M. Currie; Carlos Lamas Fernandez; Ly Nguyen; Clare Halpenny

doi:10.36819/SW23.029

A discrete event simulation model of a hospital for prediction of the impact of delayed discharge

Laura M. Boyle, Christine S. M. Currie, Carlos Lamas Fernandez, Ly Nguyen, Clare Halpenny

School of Mathematics and Physics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

72 Downloads (Pure)

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.

Original language	English
Title of host publication	The OR Society 11th Simulation Workshop (SW23): proceedings
Editors	Christine Currie, Luke Rhodes-Leader
Publisher	Operational Research Society
Pages	240-249
ISBN (Print)	9781713870951
DOIs	https://doi.org/10.36819/SW23.029
Publication status	Published - 26 Mar 2023
Event	11th Simulation Workshop 2023 - Southampton, United Kingdom Duration: 27 Mar 2023 → 29 Mar 2023 https://www.theorsociety.com/events/simulation-workshop/

Conference

Conference	11th Simulation Workshop 2023
Abbreviated title	SW23
Country/Territory	United Kingdom
City	Southampton
Period	27/03/2023 → 29/03/2023
Internet address	https://www.theorsociety.com/events/simulation-workshop/

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10.36819/SW23.029Licence: Unspecified

A discrete event simulation model of a hospital for prediction of the impact of delayed discharge
Copyright 2023 Operational Research Society. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
Final published version, 293 KBLicence: Unspecified

Cite this

@inproceedings{fa09943c0e114ce1adbdb5ce25c5358b,

title = "A discrete event simulation model of a hospital for prediction of the impact of delayed discharge",

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.",

author = "Boyle, {Laura M.} and Currie, {Christine S. M.} and {Lamas Fernandez}, Carlos and Ly Nguyen and Clare Halpenny",

year = "2023",

month = mar,

day = "26",

doi = "10.36819/SW23.029",

language = "English",

isbn = "9781713870951",

pages = "240--249",

editor = "Currie, {Christine } and Rhodes-Leader, {Luke }",

booktitle = "The OR Society 11th Simulation Workshop (SW23): proceedings",

publisher = "Operational Research Society",

address = "United Kingdom",

note = "11th Simulation Workshop 2023, SW23 ; Conference date: 27-03-2023 Through 29-03-2023",

url = "https://www.theorsociety.com/events/simulation-workshop/",

}

Boyle, LM, Currie, CSM, Lamas Fernandez, C, Nguyen, L & Halpenny, C 2023, A discrete event simulation model of a hospital for prediction of the impact of delayed discharge. in C Currie & L Rhodes-Leader (eds), The OR Society 11th Simulation Workshop (SW23): proceedings. Operational Research Society, pp. 240-249, 11th Simulation Workshop 2023, Southampton, United Kingdom, 27/03/2023. https://doi.org/10.36819/SW23.029

A discrete event simulation model of a hospital for prediction of the impact of delayed discharge. / Boyle, Laura M.; Currie, Christine S. M.; Lamas Fernandez, Carlos et al.
The OR Society 11th Simulation Workshop (SW23): proceedings. ed. / Christine Currie; Luke Rhodes-Leader. Operational Research Society, 2023. p. 240-249.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A discrete event simulation model of a hospital for prediction of the impact of delayed discharge

AU - Boyle, Laura M.

AU - Currie, Christine S. M.

AU - Lamas Fernandez, Carlos

AU - Nguyen, Ly

AU - Halpenny, Clare

PY - 2023/3/26

Y1 - 2023/3/26

N2 - 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.

AB - 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.

U2 - 10.36819/SW23.029

DO - 10.36819/SW23.029

M3 - Conference contribution

SN - 9781713870951

SP - 240

EP - 249

BT - The OR Society 11th Simulation Workshop (SW23): proceedings

A2 - Currie, Christine

A2 - Rhodes-Leader, Luke

PB - Operational Research Society

T2 - 11th Simulation Workshop 2023

Y2 - 27 March 2023 through 29 March 2023

ER -

A discrete event simulation model of a hospital for prediction of the impact of delayed discharge

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