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An activity-based workload modelling approach for determining diagnostic radiographer staffing requirements within a diagnostic radiology practice.

Thesis (MEng)--Stellenbosch University, 2021.

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Bibliographic Details
Main Author: Cloete, Cosmo
Other Authors: Bam, Louzanne
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2021
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access_status_str Open Access
author Cloete, Cosmo
author2 Bam, Louzanne
author_browse Bam, Louzanne
Cloete, Cosmo
author_facet Bam, Louzanne
Cloete, Cosmo
author_sort Cloete, Cosmo
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MEng)--Stellenbosch University, 2021.
format Thesis
id oai:scholar.sun.ac.za:10019.1/109922
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:45:31.220Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/109922 An activity-based workload modelling approach for determining diagnostic radiographer staffing requirements within a diagnostic radiology practice. Cloete, Cosmo Bam, Louzanne De Kock, Imke Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering. UCTD Work load of employees Radiodiagnosis Imaging systems in medicine Requirements specification Thesis (MEng)--Stellenbosch University, 2021. ENGLISH ABSTRACT: Radiology is a medical speciality that uses imaging technologies to obtain and interpret medical images. Radiology forms a crucial part in the diagnosis and treatment of diseases, thus the quality of the reports and images, together with the quick turnaround time of the results, is paramount. The radiology team consists of radiologists, who are medical specialists that interpret images to appropriately advise on treatment, while radiographers operate the imaging equipment and ensure correct patient positioning The efficiency of a radiology department is influenced by effective integration of workflow and imaging technologies as well as by appropriately aligned staffing,amongst other factors. Furthermore, diagnostic radiographers are responsible for producing the medical images that form the basis for accurate diagnosis hence, ensuring that a diagnostic radiology practice is staffed by a sufficient number of diagnostic radiographers is a vital aspect in enabling effective service delivery. However, a review of existing radiology-specific staffing approaches reveals that radiology workload models focus mainly on diagnostic radiologists within tertiary hospital environments, while research into radiographers’ workload and staffing only considers the radiation therapy practice field. This research develops a framework that can be used to accurately determine diagnostic radiographer staffing requirements. The proposed framework is developed based on requirement specifications. These requirement specifications are formulated based on a body of literature that includes both general healthcare-and radiology-specific staffing approaches. A complete evaluation approach (verification and validation) is applied to the requirement specifications and the proposed framework. A self-verification of the requirement specifications to the proposed framework is done followed by a theoretical verification of both the underlying bodies of literature and the framework that involves subject matter experts. The validation process includes a case study application of the framework to a private diagnostic radiology practice. The results of the case study are validated with subject matter experts to confirm the framework’s applicability and practicability. Insights from the case application confirm that the diagnostic radiographer staffing framework can be applied to both public and private diagnostic radiology environments. AFRIKAANSE OPSOMMING: Raadpleeg teks vir opsomming Masters 2021-02-11T14:12:47Z 2021-04-21T14:32:07Z 2021-02-11T14:12:47Z 2021-04-21T14:32:07Z 2021-03 Thesis http://hdl.handle.net/10019.1/109922 en_ZA Stellenbosch University 170 pages application/pdf Stellenbosch : Stellenbosch University
spellingShingle UCTD
Work load of employees
Radiodiagnosis
Imaging systems in medicine
Requirements specification
Cloete, Cosmo
An activity-based workload modelling approach for determining diagnostic radiographer staffing requirements within a diagnostic radiology practice.
title An activity-based workload modelling approach for determining diagnostic radiographer staffing requirements within a diagnostic radiology practice.
title_full An activity-based workload modelling approach for determining diagnostic radiographer staffing requirements within a diagnostic radiology practice.
title_fullStr An activity-based workload modelling approach for determining diagnostic radiographer staffing requirements within a diagnostic radiology practice.
title_full_unstemmed An activity-based workload modelling approach for determining diagnostic radiographer staffing requirements within a diagnostic radiology practice.
title_short An activity-based workload modelling approach for determining diagnostic radiographer staffing requirements within a diagnostic radiology practice.
title_sort activity based workload modelling approach for determining diagnostic radiographer staffing requirements within a diagnostic radiology practice
topic UCTD
Work load of employees
Radiodiagnosis
Imaging systems in medicine
Requirements specification
url http://hdl.handle.net/10019.1/109922
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