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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao OR Insightarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2007 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
DBLP
Article . 2007
Data sources: DBLP
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Modelling Patient Flow in a Radiotherapy Department

Authors: S. Proctor; Brian Lehaney; C. Reeves; Zulfiqar Khan;

Modelling Patient Flow in a Radiotherapy Department

Abstract

This paper reports the development of a simulation model of the radiotherapy department of Walsgrave Hospital and shows the results of experiments conducted using the model. In the radiotherapy department a key target is the number of days from the time that the consultant refers the patient to the department to the date that the patient receives their first treatment. Many factors can affect this time and this project has attempted to identify and quantify the effects of these factors. Initial discussions were held to provide a framework for the study. These discussions were followed by a series of visits to the department to observe the way in which it operates and to interview staff in each of the main areas of work. Following this a flow diagram of the department was produced. This was used as a basis for the development of a computer simulation model which represents the way in which a patient moves through the department, from referral by a consultant, to the planning of the treatment, to the treatment itself, and finally discharge from the hospital. A series of experiments was used to evaluate the effects of changes to the input to the model, the number of resources in the model and the way in which the department operates. Finally, recommendations are made for future work to develop the model further and suggestions are made for its application.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Average
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