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，并且它们有意无意地零散地散布在国内各个设施中。这直接或间接导致数据利用不足，影响了向社区提供的服务。例如，由于缺乏实时信息，许多患者被误诊，还有一些患者因重复处方而被错误用药。因此，生命受到损失和损害，导致该国死亡率上升。这项研究是在应对这些挑战的前提下进行的，旨在开发一个概念框架，该框架可以指导如何管理数据以改善南非医疗机构内的服务。采用了解释方法。定性数据是从现有作品中收集的。结构化理论被用作指导数据分析的透镜。根据调查结果，开发了一个框架，主要是为了指导和推进数据存储、检索、管理和用于医疗保健改进服务的方式。