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

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

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

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

School of Mathematics and Physics

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

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 Limited
Pages	240-249
ISBN (Electronic)	9781713870951
Publication status	Early online date - 26 Mar 2023
Event	11th Simulation Workshop: SW23 - Southampton, United Kingdom Duration: 27 Mar 2023 → 29 Mar 2023

Conference

Conference	11th Simulation Workshop
Country/Territory	United Kingdom
City	Southampton
Period	27/03/2023 → 29/03/2023

Access to Document

https://www.theorsociety.com/events/simulation-workshop/

Cite this

Boyle, L., Currie, C., 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 (pp. 240-249). Operational Research Society Limited. https://www.theorsociety.com/events/simulation-workshop/

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

year = "2023",

month = mar,

day = "26",

language = "English",

pages = "240--249",

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

booktitle = "The OR Society 11th Simulation Workshop: SW23: Proceedings",

publisher = "Operational Research Society Limited",

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

}

Boyle, L, Currie, C, 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 Limited, pp. 240-249, 11th Simulation Workshop, Southampton, United Kingdom, 27/03/2023. <https://www.theorsociety.com/events/simulation-workshop/>

A discrete event simulation model of a hospital for prediction of the impact of delayed discharge. / Boyle, Laura; Currie, Christine; Lamas Fernandez, Carlos et al.

The OR Society 11th Simulation Workshop: SW23: Proceedings. ed. / Christine Currie; Luke Rhodes-Leader. Operational Research Society Limited, 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

AU - Currie, Christine

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.

M3 - Conference contribution

SP - 240

EP - 249

BT - The OR Society 11th Simulation Workshop: SW23: Proceedings

A2 - Currie, Christine

A2 - Rhodes-Leader, Luke

PB - Operational Research Society Limited

T2 - 11th Simulation Workshop

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

Abstract

Conference

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