A compartmental model to describe acute medical in-patient flow through a hospital

Managing patient flow in hospitals is a critical part of effective secondary care. Considering a hospital as a multi-compartment system through which patients pass, we will derive relevant equations to allow a description of patient flow through these departments as a series of interconnected dynami...

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Main Authors: Tahani Al-Karkhi, Kit Byatt
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Heliyon
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Online Access:http://www.sciencedirect.com/science/article/pii/S2405844025006401
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author Tahani Al-Karkhi
Kit Byatt
author_facet Tahani Al-Karkhi
Kit Byatt
author_sort Tahani Al-Karkhi
collection DOAJ
description Managing patient flow in hospitals is a critical part of effective secondary care. Considering a hospital as a multi-compartment system through which patients pass, we will derive relevant equations to allow a description of patient flow through these departments as a series of interconnected dynamic relationships. These relationships are determined by many factors, some known, and many interdependent. We do not need to, and indeed cannot, know all of these factors (as needed for discrete event simulation, or agent-based modelling), but will merely examine the net changes between compartments (i.e. a ‘system dynamics’ approach). Using this approach, we were able to identify two relevant states of equilibrium: the first (trivial) is when the hospital is empty; the second, is when there is activity. We plan to use bed usage data from a UK hospital in an attempt to validate this methodology and then assess its generalizability.
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spelling doaj-art-1878a14ca9784cf09153392b077c5bb72025-02-02T05:29:03ZengElsevierHeliyon2405-84402025-02-01113e42260A compartmental model to describe acute medical in-patient flow through a hospitalTahani Al-Karkhi0Kit Byatt1School of Mathematics, Statistics and Actuarial Science (SMSAS), University of Essex, Wivenhoe Park, Colchester CO4 3SQ, United Kingdom; Corresponding author.Consultant Geriatrician, Independent Medical PractitionerManaging patient flow in hospitals is a critical part of effective secondary care. Considering a hospital as a multi-compartment system through which patients pass, we will derive relevant equations to allow a description of patient flow through these departments as a series of interconnected dynamic relationships. These relationships are determined by many factors, some known, and many interdependent. We do not need to, and indeed cannot, know all of these factors (as needed for discrete event simulation, or agent-based modelling), but will merely examine the net changes between compartments (i.e. a ‘system dynamics’ approach). Using this approach, we were able to identify two relevant states of equilibrium: the first (trivial) is when the hospital is empty; the second, is when there is activity. We plan to use bed usage data from a UK hospital in an attempt to validate this methodology and then assess its generalizability.http://www.sciencedirect.com/science/article/pii/S2405844025006401DynamicsModelling bed usageStability analysisBifurcation analysis
spellingShingle Tahani Al-Karkhi
Kit Byatt
A compartmental model to describe acute medical in-patient flow through a hospital
Heliyon
Dynamics
Modelling bed usage
Stability analysis
Bifurcation analysis
title A compartmental model to describe acute medical in-patient flow through a hospital
title_full A compartmental model to describe acute medical in-patient flow through a hospital
title_fullStr A compartmental model to describe acute medical in-patient flow through a hospital
title_full_unstemmed A compartmental model to describe acute medical in-patient flow through a hospital
title_short A compartmental model to describe acute medical in-patient flow through a hospital
title_sort compartmental model to describe acute medical in patient flow through a hospital
topic Dynamics
Modelling bed usage
Stability analysis
Bifurcation analysis
url http://www.sciencedirect.com/science/article/pii/S2405844025006401
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