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Data governance in healthcare information systems : a systematic literature review
Author(s)
Ngesimani, Nomputumo Linah
Date Issued
2021
Type
Thesis
Publisher
Cape Peninsula University of Technology
Abstract
This study aimed to investigate data governance relative to challenges associated with healthcare
information systems, by reviewing guidelines emerging from academic sources as part of a
consolidated systematic literature review. The study adopted a systematic literature review to collect
and analyze data regarding the aim of the study. A combination of keywords on web search engines
was used to obtain relevant research studies. The books, conference papers, journal articles and
theses recognized as relevant to conduct the study, summed to 46 studies. The researcher conducted
the study over the period 2010–2020.
The outcome of the data analysis reflects that a larger number of studies focused on healthcare
information systems (14 papers), followed by data governance (12 papers), performance strategy (6
papers), competitive advantage (5 papers), data governance contingency model (4 papers), and
process harmonization (5 papers).
The study shows that there is limited evidence concerning the findings on healthcare information
systems (HIS) success and DG in South Africa, since data governance is still in its infancy. Healthcare
has ultimately changed through political, social and technological factors. However, various
organizations see data governance as a promising method of maintaining its value as an organization
asset and of ensuring data quality.
This study contributed theoretically towards the body of knowledge, by reviewing challenges and
guidelines relating to data governance within the healthcare environment. It contributed practically to
the body of knowledge through understanding the healthcare information’s systems status. It also
contributed methodologically and significantly to systematic literature review strategies. The study
created an opportunity for future research to propose an extended version of the data governance
contingency model, and to implement and evaluate the model within a South African context.
information systems, by reviewing guidelines emerging from academic sources as part of a
consolidated systematic literature review. The study adopted a systematic literature review to collect
and analyze data regarding the aim of the study. A combination of keywords on web search engines
was used to obtain relevant research studies. The books, conference papers, journal articles and
theses recognized as relevant to conduct the study, summed to 46 studies. The researcher conducted
the study over the period 2010–2020.
The outcome of the data analysis reflects that a larger number of studies focused on healthcare
information systems (14 papers), followed by data governance (12 papers), performance strategy (6
papers), competitive advantage (5 papers), data governance contingency model (4 papers), and
process harmonization (5 papers).
The study shows that there is limited evidence concerning the findings on healthcare information
systems (HIS) success and DG in South Africa, since data governance is still in its infancy. Healthcare
has ultimately changed through political, social and technological factors. However, various
organizations see data governance as a promising method of maintaining its value as an organization
asset and of ensuring data quality.
This study contributed theoretically towards the body of knowledge, by reviewing challenges and
guidelines relating to data governance within the healthcare environment. It contributed practically to
the body of knowledge through understanding the healthcare information’s systems status. It also
contributed methodologically and significantly to systematic literature review strategies. The study
created an opportunity for future research to propose an extended version of the data governance
contingency model, and to implement and evaluate the model within a South African context.
Additional information
Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2021
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Ngesimani_(nee_Jim)_Nomputumo_199031096.pdf
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