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Title: Methodology for profiling literature in healthcare simulation
Authors: Katsaliaki, K
Mustafee, N
Taylor, S J E
Keywords: Simulation;Healthcare;Methodology;Profiling Research;Co-citation Analysis
Issue Date: 2010
Publisher: OR Society
Citation: Proceedings of the Operational Research Society Simulation Workshop 2010 (SW10), Worcestershire, March 2010. pp. 59-69
Abstract: The publications that relate to the application of simulation to healthcare have steadily increased over the years. These publications are scattered amongst various journals that belong to several subject categories, including Operational Research, Health Economics and Pharmacokinetics. The simulation techniques that are applied to the study of healthcare problems are also varied. The aim of this study is to present a methodology for profiling literature in healthcare simulation. In our methodology, we have considered papers on healthcare that have been published between 1970 and 2007 in journals with impact factors that belonging to various subject categories reporting on the application of four simulation techniques, namely, Monte Carlo Simulation, Discrete-Event Simulation, System Dynamics and Agent-Based Simulation. The methodology has the following objectives: (a) to categorise the papers under the different simulation techniques and identify the healthcare problems that each technique is employed to investigate; (b) to profile, within our dataset, variables such as authors, article citations, etc.; (c) to identify turning point (strategically important) papers and authors through co-citation analysis of references cited by the papers in our dataset. The focus of the paper is on the literature profiling methodology, and not the results that have been derived through the application of this methodology. The authors hope that the methodology presented here will be used to conduct similar work in not only healthcare but also other research domains.
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

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