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Improved Patient Admission Planning - A Discrete Event Simulation Study at the Department of Pulmonary Medicine, Linköping University Hospital
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology.
2017 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The Swedish health care system plays a vital role in satisfying the citizens’ demands for quality health care services. To deliver the right services in time in a hospital, an efficient admission plan is required, but this can be difficult to achieve. The Department of Pulmonary Medicine at the University Hospital in Linköping needs a better admission plan for their patients. In the department, the patient demand does not match the capacity, which leads to overcrowding at the ward. The aim of this thesis is to improve the admission plan of patients for the ward at the Department of Pulmonary Medicine by using discrete event simulation. To fulfil the aim, a simulation study is performed to understand how the system is working, where the problems emerged and how to prevent overcrowding. Different experiments are performed to check what could improve the admission plan at the ward. The results from this study shows that an improvement of the admission plan could be reached by better cooperation between involved units, improved documentation at the Department, a queue system of patients based on medical priorities and changed number of care beds. These solutions can prevent overcrowding and deliver health care services in time.

Place, publisher, year, edition, pages
2017. , p. 58
Keywords [en]
simulation study, discrete event simulation, logistic, health care, health care logistics, bed management
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-137678ISRN: LiU-ITN-TEK-G--17/011--SEOAI: oai:DiVA.org:liu-137678DiVA, id: diva2:1098495
Subject / course
Logistics Management
Uppsok
Technology
Supervisors
Examiners
Available from: 2017-05-24 Created: 2017-05-24 Last updated: 2017-05-24Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • Other locale
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Output format
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