Best practices for computer simulation in healthcare system.

MANAGE, S. D. K. U. M. (2002). Best practices for computer simulation in healthcare system. Masters, Sheffield Hallam University (United Kingdom)..

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Abstract

This thesis discusses the study of best practices for computer simulation in healthcare system with the aim of developing a customised simulation environment for healthcare resource planning. Initially a review of the use of computer simulation technology in healthcare industry is conducted using case study analysis method. Number of healthcare oriented simulation applications selected from various sources are analysed using multitude of parameters such as type of models developed, nature of the problem being investigated and type of software used for model development and validation. Based on this analysis benefits and problems encountered in the modelling and simulation of healthcare industry are identified.Simulation model building process is also discussed briefly and highlighted the issues involved in healthcare oriented simulation modelling. Useful suggestions are made to improve the model building process in healthcare sector. A Number of simulation models related to popular healthcare problems are demonstrated in detail. Healthcare planning process is modelled using IDEFO methodology in order to assess the current applications of computer simulation tools within the planning process. This investigation also identified further areas of applications of simulation in healthcare planning. Based on the findings of the study, specifications and prototype templates for five areas of healthcare industry are created to enable development of a customised simulation environment for healthcare resource planning. Finally some general conclusions and made and work that need to be done in future highlighted.

Item Type:	Thesis (Masters)
Additional Information:	Thesis (M.Phil.)--Sheffield Hallam University (United Kingdom), 2002.
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Sheffield Hallam Doctoral Theses
Depositing User:	EPrints Services
Date Deposited:	10 Apr 2018 17:20
Last Modified:	26 Apr 2021 12:04
URI:	https://shura.shu.ac.uk/id/eprint/20011

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