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Towards health management intelligence: a case study from South Africa
Over the last two decades various information management processes have evolved in South Africa’s public health system. Most notably a self-service business intelligence tool has emerged at the national level which has been supported by the presence of a Routine Health Information System. Corporate...
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| Format: | Thesis |
| Language: | English |
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Department of Information Systems
2015
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| _version_ | 1867613210406813696 |
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| access_status_str | Open Access |
| author | Rowles , Gregory Thomas |
| author2 | van Belle, Jean-Paul |
| author_browse | Rowles , Gregory Thomas van Belle, Jean-Paul |
| author_facet | van Belle, Jean-Paul Rowles , Gregory Thomas |
| author_sort | Rowles , Gregory Thomas |
| collection | Thesis |
| description | Over the last two decades various information management processes have evolved in South Africa’s public health system. Most notably a self-service business intelligence tool has emerged at the national level which has been supported by the presence of a Routine Health Information System. Corporate business intelligence and its underlying process are well documented but not in the public health domain. The emergence of this tool and the underlying support processes are investigated in a longitudinal case study. Complex adaptive systems theory is used to demonstrate the evolutionary path of business intelligence processes according to four key areas, namely data quality, master data management, data warehousing and analytics. These processes have developed out of an information management culture that has been nurtured by a participatory approach which required an attractor: the improvement of health services through the collection and use of information. The evolution of these processes took place through a bottom up approach that relied on distributed control structures, self-organization and regular engagement within the CAS that is South Africa’s public health system. This created an environment in which information quality practices and master data management processes enabled the continued production of data for warehousing and analytics. Findings will show how business intelligence processes have evolved within a public health setting to the point that they are supported by a new policy that ensures data integrity, presence, quality and use processes. These processes have developed and stabilized over many iterations and have enabled the establishment of a country level self-service business intelligence platform for health managers. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/13217 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:31.718Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| 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:11427/13217 Towards health management intelligence: a case study from South Africa Rowles , Gregory Thomas van Belle, Jean-Paul Hart, Mike Information Systems Over the last two decades various information management processes have evolved in South Africa’s public health system. Most notably a self-service business intelligence tool has emerged at the national level which has been supported by the presence of a Routine Health Information System. Corporate business intelligence and its underlying process are well documented but not in the public health domain. The emergence of this tool and the underlying support processes are investigated in a longitudinal case study. Complex adaptive systems theory is used to demonstrate the evolutionary path of business intelligence processes according to four key areas, namely data quality, master data management, data warehousing and analytics. These processes have developed out of an information management culture that has been nurtured by a participatory approach which required an attractor: the improvement of health services through the collection and use of information. The evolution of these processes took place through a bottom up approach that relied on distributed control structures, self-organization and regular engagement within the CAS that is South Africa’s public health system. This created an environment in which information quality practices and master data management processes enabled the continued production of data for warehousing and analytics. Findings will show how business intelligence processes have evolved within a public health setting to the point that they are supported by a new policy that ensures data integrity, presence, quality and use processes. These processes have developed and stabilized over many iterations and have enabled the establishment of a country level self-service business intelligence platform for health managers. 2015-07-01T08:55:02Z 2015-07-01T08:55:02Z 2014 Master Thesis Masters MCom http://hdl.handle.net/11427/13217 eng application/pdf Department of Information Systems Faculty of Commerce University of Cape Town |
| spellingShingle | Information Systems Rowles , Gregory Thomas Towards health management intelligence: a case study from South Africa |
| thesis_degree_str | Master's |
| title | Towards health management intelligence: a case study from South Africa |
| title_full | Towards health management intelligence: a case study from South Africa |
| title_fullStr | Towards health management intelligence: a case study from South Africa |
| title_full_unstemmed | Towards health management intelligence: a case study from South Africa |
| title_short | Towards health management intelligence: a case study from South Africa |
| title_sort | towards health management intelligence a case study from south africa |
| topic | Information Systems |
| url | http://hdl.handle.net/11427/13217 |
| work_keys_str_mv | AT rowlesgregorythomas towardshealthmanagementintelligenceacasestudyfromsouthafrica |