| Length of stay-based patient flow models: recent developments and future directions. | |
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MedLine Citation:
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PMID: 16134434 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Modelling patient flow in health care systems is vital in understanding the system activity and may therefore prove to be useful in improving their functionality. An extensively used measure is the average length of stay which, although easy to calculate and quantify, is not considered appropriate when the distribution is very long-tailed. In fact, simple deterministic models are generally considered inadequate because of the necessity for models to reflect the complex, variable, dynamic and multidimensional nature of the systems. This paper focuses on modelling length of stay and flow of patients. An overview of such modelling techniques is provided, with particular attention to their impact and suitability in managing a hospital service. |
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Authors:
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Adele Marshall; Christos Vasilakis; Elia El-Darzi |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Review |
Journal Detail:
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Title: Health care management science Volume: 8 ISSN: 1386-9620 ISO Abbreviation: Health Care Manag Sci Publication Date: 2005 Aug |
Date Detail:
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Created Date: 2005-09-01 Completed Date: 2005-11-03 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9815649 Medline TA: Health Care Manag Sci Country: Netherlands |
Other Details:
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Languages: eng Pagination: 213-20 Citation Subset: IM |
Affiliation:
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Department of Applied Mathematics and Theoretical Physics, David Bates Building, Queen 's University of Belfast, Belfast Northern Ireland, UK. a.h.marshall@qub.ac.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Bed Occupancy
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statistics & numerical data* Computer Simulation* Hospitals / utilization* Humans Length of Stay / statistics & numerical data* Models, Statistical* Needs Assessment / statistics & numerical data* Stochastic Processes |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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