Is a complex process of examining extremely large amount and varied data sets, or big data, to uncover or reveal valuable information – such as patterns, unknown correlations, trends and preferences that can help patient caring institutions make informed decisions.
Published in Chapter:
Integrated Big Data E-Healthcare Solutions to a Fragmented Health Information System in Namibia
Valerianus Hashiyana (University of Namibia, Namibia), Jacob Angara Sheehama (University of Namibia, Namibia), Paulus Sheetekela (International University of Management, Namibia), and Frans David (International University of Management, Namibia)
Copyright: © 2021
|Pages: 16
DOI: 10.4018/978-1-7998-3053-5.ch015
Abstract
This chapter showcases a big data platform solution for the Namibian health sector using handheld, portable devices, mobile devices, desktops, and server systems targeted to capture patient information, keep records, monitor and process patient health status. This chapter oversees the architectural design of the system that is more oriented towards specifications of user requirements on usability of mobile devices and their applications for e-health systems. This chapter is looking ahead to the benefits that come along with good investment in the e-health, which require a very philosophical and pragmatic systematic transformation of the hardware, software, and human resources in the health sector. Sustainability of the e-health system in the future is very promising as young professionals embrace these technological advancements from the training time and can take over the system without a big IT support staff as most of them are IT literate.