Predicting overflow in an emergency department

L Au, Graham Byrnes, Christopher A Bain, M Fackrell, Caroline Brand, Donald Alexander Campbell, Peter G Taylor

    Research output: Contribution to journalArticleResearchpeer-review

    Abstract

    Ambulance bypass occurs when the emergency department (ED) of a hospital becomes so busy that ambulances are requested to take their patients elsewhere, except in life-threatening cases. It is a major concern for hospitals in Victoria, Australia, and throughout most of the western world, not only from the point of view of patient safety but also financially?hospitals lose substantial performance bonuses if they go on ambulance bypass too often in a given period. We show that the main cause of ambulance bypass is the inability to move patients from the ED to a ward. In order to predict the onset of ambulance bypass, the ED is modelled as a queue for treatment followed by a queue for a ward bed. The queues are assumed to behave as inhomogeneous Poisson arrival processes. We calculate the probability of reaching some designated capacity C within time t, given the current time and number of patients waiting.
    Original languageEnglish
    Pages (from-to)39 - 49
    Number of pages11
    JournalIMA Journal of Management Mathematics
    Volume20
    Issue number1
    DOIs
    Publication statusPublished - 2009

    Cite this

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    abstract = "Ambulance bypass occurs when the emergency department (ED) of a hospital becomes so busy that ambulances are requested to take their patients elsewhere, except in life-threatening cases. It is a major concern for hospitals in Victoria, Australia, and throughout most of the western world, not only from the point of view of patient safety but also financially?hospitals lose substantial performance bonuses if they go on ambulance bypass too often in a given period. We show that the main cause of ambulance bypass is the inability to move patients from the ED to a ward. In order to predict the onset of ambulance bypass, the ED is modelled as a queue for treatment followed by a queue for a ward bed. The queues are assumed to behave as inhomogeneous Poisson arrival processes. We calculate the probability of reaching some designated capacity C within time t, given the current time and number of patients waiting.",
    author = "L Au and Graham Byrnes and Bain, {Christopher A} and M Fackrell and Caroline Brand and Campbell, {Donald Alexander} and Taylor, {Peter G}",
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    Predicting overflow in an emergency department. / Au, L; Byrnes, Graham; Bain, Christopher A; Fackrell, M; Brand, Caroline; Campbell, Donald Alexander; Taylor, Peter G.

    In: IMA Journal of Management Mathematics, Vol. 20, No. 1, 2009, p. 39 - 49.

    Research output: Contribution to journalArticleResearchpeer-review

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    T1 - Predicting overflow in an emergency department

    AU - Au, L

    AU - Byrnes, Graham

    AU - Bain, Christopher A

    AU - Fackrell, M

    AU - Brand, Caroline

    AU - Campbell, Donald Alexander

    AU - Taylor, Peter G

    PY - 2009

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    AB - Ambulance bypass occurs when the emergency department (ED) of a hospital becomes so busy that ambulances are requested to take their patients elsewhere, except in life-threatening cases. It is a major concern for hospitals in Victoria, Australia, and throughout most of the western world, not only from the point of view of patient safety but also financially?hospitals lose substantial performance bonuses if they go on ambulance bypass too often in a given period. We show that the main cause of ambulance bypass is the inability to move patients from the ED to a ward. In order to predict the onset of ambulance bypass, the ED is modelled as a queue for treatment followed by a queue for a ward bed. The queues are assumed to behave as inhomogeneous Poisson arrival processes. We calculate the probability of reaching some designated capacity C within time t, given the current time and number of patients waiting.

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