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 ways in which data are stored, retrieved, managed, and used for healthcare improved services.