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A Health information system (HIS) is regarded a key pillar in any healthcare sector. Yet, for many developing countries, challenges with data quality management have affected the adequate use of HIS. Resilient and well-functioning HIS systems contribute to the delivery of high-quality healthcare ser...
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| Format: | Thesis |
| Language: | Eng |
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Department of Information Systems
2025
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| _version_ | 1867613236473364480 |
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| access_status_str | Open Access |
| author | Katjimune, Vitjitua |
| author2 | Brown, Irwin |
| author_browse | Brown, Irwin Katjimune, Vitjitua |
| author_facet | Brown, Irwin Katjimune, Vitjitua |
| author_sort | Katjimune, Vitjitua |
| collection | Thesis |
| description | A Health information system (HIS) is regarded a key pillar in any healthcare sector. Yet, for many developing countries, challenges with data quality management have affected the adequate use of HIS. Resilient and well-functioning HIS systems contribute to the delivery of high-quality healthcare services, enhanced operational efficiency, informed decisionmaking, and the advancement of public health systems. Efforts to improve the quality of data in HIS has recently been a research interest in healthcare literature. This study investigates the use of Enterprise Architecture (EA) principles as an approach to data quality management in the context of Namibian Health Information Systems (NHIS). The study focuses on the principles outlined in The Open Group Architectural Framework (TOGAF) EA framework. This study followed a Grounded Theory Methodology (GTM). The themes from literature and data were used to form a conceptual model. Themes that emerged from the data include governing laws, standardization, data quality assessment and data quality assurance. The findings highlight the use of EA principles in Namibian HIS (NHIS) and showed that the standard out-of-the-box implementation of EA may not be suitable for use within a healthcare setting. The results, however, indicate that EA implementation should be informed by healthcare laws and policies particularly those pertaining to patient privacy. Furthermore, data quality challenges and some of the contextual conditions were discussed in depth and found to be similar to the findings in literature. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/41016 |
| institution | University of Cape Town (South Africa) |
| language | Eng |
| last_indexed | 2026-06-10T12:32:56.154Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Department of Information Systems |
| publisherStr | Department of Information Systems |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/41016 An Enterprise Architecture approach for Data Quality management within Namibian Health Information Systems Katjimune, Vitjitua Brown, Irwin Information Systems A Health information system (HIS) is regarded a key pillar in any healthcare sector. Yet, for many developing countries, challenges with data quality management have affected the adequate use of HIS. Resilient and well-functioning HIS systems contribute to the delivery of high-quality healthcare services, enhanced operational efficiency, informed decisionmaking, and the advancement of public health systems. Efforts to improve the quality of data in HIS has recently been a research interest in healthcare literature. This study investigates the use of Enterprise Architecture (EA) principles as an approach to data quality management in the context of Namibian Health Information Systems (NHIS). The study focuses on the principles outlined in The Open Group Architectural Framework (TOGAF) EA framework. This study followed a Grounded Theory Methodology (GTM). The themes from literature and data were used to form a conceptual model. Themes that emerged from the data include governing laws, standardization, data quality assessment and data quality assurance. The findings highlight the use of EA principles in Namibian HIS (NHIS) and showed that the standard out-of-the-box implementation of EA may not be suitable for use within a healthcare setting. The results, however, indicate that EA implementation should be informed by healthcare laws and policies particularly those pertaining to patient privacy. Furthermore, data quality challenges and some of the contextual conditions were discussed in depth and found to be similar to the findings in literature. 2025-02-25T12:51:50Z 2025-02-25T12:51:50Z 2024 2025-02-25T12:47:24Z Thesis / Dissertation Masters MCom http://hdl.handle.net/11427/41016 Eng application/pdf Department of Information Systems Faculty of Commerce University of Cape Town |
| spellingShingle | Information Systems Katjimune, Vitjitua An Enterprise Architecture approach for Data Quality management within Namibian Health Information Systems |
| thesis_degree_str | Master's |
| title | An Enterprise Architecture approach for Data Quality management within Namibian Health Information Systems |
| title_full | An Enterprise Architecture approach for Data Quality management within Namibian Health Information Systems |
| title_fullStr | An Enterprise Architecture approach for Data Quality management within Namibian Health Information Systems |
| title_full_unstemmed | An Enterprise Architecture approach for Data Quality management within Namibian Health Information Systems |
| title_short | An Enterprise Architecture approach for Data Quality management within Namibian Health Information Systems |
| title_sort | enterprise architecture approach for data quality management within namibian health information systems |
| topic | Information Systems |
| url | http://hdl.handle.net/11427/41016 |
| work_keys_str_mv | AT katjimunevitjitua anenterprisearchitectureapproachfordataqualitymanagementwithinnamibianhealthinformationsystems AT katjimunevitjitua enterprisearchitectureapproachfordataqualitymanagementwithinnamibianhealthinformationsystems |