Lene Berge Holm

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PURPOSE This paper analyses the problem of allocating beds among hospital wards in order to minimise crowding. METHOD We present a generic discrete event simulation model of patient flow through the wards of a hospital. In the generic model, each ward can have separate probability distributions for arrival times and length of stay, which may be time(More)
The Norwegian Board of Health Supervision has strongly recommended that all hospitals need to take action to improve the long waiting times before patients are seen by a physician in the Hospital Emergency Department. Akershus University Hospital has complied with this by introducing physician triage every weekday from 10am to 7pm. Because it is difficult(More)
A 45% increase in patient volume will have significant influence on the patient flow of an Emergency Department (ED). This is expected for Akershus University Hospital in 2011 when the catchment area increases from 340,000 to 500,000 inhabitants. An important question for the hospital management is: What is the lowest number of additional resources that(More)
With patient flow simulation models it is not only important to identify visible resources obvious for inclusion in the model, but before this, it is important to fully understand and structure the problem situation, grounding it in the reality of working lives and organizational structure, strategies and professional cultures. In this project we have used(More)
The aim of this paper is to demonstrate empirically the consequences of misinterpreting estimates from subject matter experts (SMEs), and to study the differences between modeling this with triangular and beta distributions. Three estimates which describe the duration of a process; minimum, maximum, and mode, is ideally sufficient as a proxy for the(More)
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