Iyamu Tiko, Nunu Khaya
Department of Information Technology, Cape Peninsula University of Technology, Cape Town, South Africa.
Educ Inf Technol (Dordr). 2021;26(3):3513-3527. doi: 10.1007/s10639-020-10413-y. Epub 2021 Jan 13.
In the context of South Africa, what we do know is that huge amount of healthcare data does exist and that they are consciously and unconsciously scattered in bits and pieces across facilities within the country. This has directly or indirectly resulted to underutilisation of data, which affects service delivery to the community. For example, many patients have been wrongly diagnosed, and some others have been given wrong medications due to duplication of prescriptions, which were influenced by lack of real-time information. Consequently, there have been loss and damages to lives, contributing to the mortality rate in the country. This study was undertaken on the premise of these challenges, to develop a conceptual framework that can guide how data could be managed towards improved services within the South African healthcare facilities. The interpretive approach was employed. Qualitative data were gathered from existing works. Structuration theory was applied as a lens to guide the analysis of the data. From the findings, a framework was developed, primarily to guide and advance the waysin which data are stored, retrieved, managed, and used for healthcare improved services.
在南非的背景下,我们所知道的是,确实存在大量的医疗保健数据,并且这些数据有意无意地零散分布在该国的各个医疗机构中。这直接或间接地导致了数据利用不足,进而影响了向社区提供的服务。例如,由于缺乏实时信息导致处方重复,许多患者被误诊,还有一些患者被给予错误的药物治疗。因此,出现了生命损失和损害,导致该国的死亡率上升。本研究基于这些挑战展开,旨在构建一个概念框架,以指导如何管理数据,从而改善南非医疗机构的服务。采用了解释性方法。从现有文献中收集了定性数据。运用结构化理论作为视角来指导数据分析。根据研究结果,开发了一个框架,主要用于指导和推进数据的存储、检索、管理以及用于改善医疗服务的方式。