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A clinical engineering decision support system

The use of technology in health-care today is increasing dramatically with a corresponding increase in cost and complexity to provide and support it. The degree to which a hospital manages this technology affects its ability to treat patients, to perform research, to teach and to attract competent s...

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Main Author: Muller, Johann Heinrich
Format: Thesis
Language:English
Published: Division of Biomedical Engineering 2017
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access_status_str Open Access
author Muller, Johann Heinrich
author_browse Muller, Johann Heinrich
author_facet Muller, Johann Heinrich
author_sort Muller, Johann Heinrich
collection Thesis
description The use of technology in health-care today is increasing dramatically with a corresponding increase in cost and complexity to provide and support it. The degree to which a hospital manages this technology affects its ability to treat patients, to perform research, to teach and to attract competent staff. This thesis project has identified the role that clinical engineering could play in health-care technology provision and support in South Africa. A system synthesis technique was employed to develop an idealized clinical engineering model (ICE) that would satisfy South African technological requirements. An extensive literature survey of the current status of clinical engineering in both developed and developing countries was undertaken to provide input to the synthesis process. Surveys were then conducted to determine the actual current status of clinical engineering and its environment in the RSA. To enable such an idealised department to function as defined, it must be supported by appropriate and timeous information. The information needs of the idealised clinical engineering model were analysed and a corresponding decision support system (DSS) defined. Further surveys were conducted to test the applicability and acceptability of the idealised clinical engineering model. The feasibility of implementing the idealised clinical engineering model in South Africa was investigated and recommendations were made based on the research results of this thesis to bring the actual status of clinical engineering closer to the idealised model. ii
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institution University of Cape Town (South Africa)
language eng
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license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2017
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publisher Division of Biomedical Engineering
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spelling oai:open.uct.ac.za:11427/26533 A clinical engineering decision support system Muller, Johann Heinrich Biomedical Engineering The use of technology in health-care today is increasing dramatically with a corresponding increase in cost and complexity to provide and support it. The degree to which a hospital manages this technology affects its ability to treat patients, to perform research, to teach and to attract competent staff. This thesis project has identified the role that clinical engineering could play in health-care technology provision and support in South Africa. A system synthesis technique was employed to develop an idealized clinical engineering model (ICE) that would satisfy South African technological requirements. An extensive literature survey of the current status of clinical engineering in both developed and developing countries was undertaken to provide input to the synthesis process. Surveys were then conducted to determine the actual current status of clinical engineering and its environment in the RSA. To enable such an idealised department to function as defined, it must be supported by appropriate and timeous information. The information needs of the idealised clinical engineering model were analysed and a corresponding decision support system (DSS) defined. Further surveys were conducted to test the applicability and acceptability of the idealised clinical engineering model. The feasibility of implementing the idealised clinical engineering model in South Africa was investigated and recommendations were made based on the research results of this thesis to bring the actual status of clinical engineering closer to the idealised model. ii 2017-12-11T10:20:17Z 2017-12-11T10:20:17Z 1988 Master Thesis Masters MPhil http://hdl.handle.net/11427/26533 eng application/pdf Division of Biomedical Engineering Faculty of Health Sciences University of Cape Town
spellingShingle Biomedical Engineering
Muller, Johann Heinrich
A clinical engineering decision support system
thesis_degree_str Master's
title A clinical engineering decision support system
title_full A clinical engineering decision support system
title_fullStr A clinical engineering decision support system
title_full_unstemmed A clinical engineering decision support system
title_short A clinical engineering decision support system
title_sort clinical engineering decision support system
topic Biomedical Engineering
url http://hdl.handle.net/11427/26533
work_keys_str_mv AT mullerjohannheinrich aclinicalengineeringdecisionsupportsystem
AT mullerjohannheinrich clinicalengineeringdecisionsupportsystem