Towards health management intelligence: a case study from South Africa

Simple item page
dc.contributor.advisorvan Belle, Jean-Paulen_ZA
dc.contributor.advisorHart, Mikeen_ZA
dc.contributor.authorRowles , Gregory Thomasen_ZA
dc.date.accessioned2015-07-01T08:55:02Z
dc.date.available2015-07-01T08:55:02Z
dc.date.issued2014en_ZA
dc.description.abstractOver 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.en_ZA
dc.identifier.apacitationRowles , G. T. (2014). <i>Towards health management intelligence: a case study from South Africa</i>. (Thesis). University of Cape Town ,Faculty of Commerce ,Department of Information Systems. Retrieved from http://hdl.handle.net/11427/13217en_ZA
dc.identifier.chicagocitationRowles , Gregory Thomas. <i>"Towards health management intelligence: a case study from South Africa."</i> Thesis., University of Cape Town ,Faculty of Commerce ,Department of Information Systems, 2014. http://hdl.handle.net/11427/13217en_ZA
dc.identifier.citationRowles , G. 2014. Towards health management intelligence: a case study from South Africa. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Rowles , Gregory Thomas AB - 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. DA - 2014 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2014 T1 - Towards health management intelligence: a case study from South Africa TI - Towards health management intelligence: a case study from South Africa UR - http://hdl.handle.net/11427/13217 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/13217
dc.identifier.vancouvercitationRowles GT. Towards health management intelligence: a case study from South Africa. [Thesis]. University of Cape Town ,Faculty of Commerce ,Department of Information Systems, 2014 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/13217en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Information Systemsen_ZA
dc.publisher.facultyFaculty of Commerceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherInformation Systemsen_ZA
dc.titleTowards health management intelligence: a case study from South Africaen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMComen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
thesis_com_2014_rowles.pdf_g__.pdf
Size:
2.03 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Masters