Semantic web-based healthcare framework for digital healthcare in a resource-constrained environment

Abstract

Information and communication technology (ICT) have significantly changed our daily life during the last 20 years. ICTs have advanced through research interventions to the point that they now impact every aspect of our daily lives. Among the technologies used in ICT development are artificial intelligence (AI) and the Semantic Web. As opposed to the Semantic Web, which organises web pages so they can be directly read by computers that are connected to the network, artificial intelligence (AI) focuses on creating computer systems that mimic human behaviour. Research on the use of Web 3.0 technology in rural South Africa's healthcare system is still lacking. The Semantic Web and artificial intelligence are combined in Web 3.0. This study project demonstrates how Web 3.0 might help underprivileged communities in Dutywa Health District, Eastern Cape, receive healthcare. The semantic web directs the computer to access legitimate data, which matures into AI when the information is used. Semantic Web can help public healthcare overcome information overload caused by a lack of facilities and qualified medical workers. Fragmented medical clinical information impedes acute care. To model a Semantic Web-Based Healthcare Framework for rural healthcare, this research study uses a Design Science Methodology. Protégé, an Apache Jena Fuseki Server, is used to design and deploy a prototype to the framework for proof of concept. In order to demonstrate the effectiveness of the Semantic Web-Based Healthcare Framework development, its development is compared to the BioMedLib Search Engine using economic projections. The assessment demonstrates that the suggested Semantic Web-Based Healthcare Framework is efficient, furthermore, over time, the Semantic Web-Based Healthcare Framework will have a respectable Return on Investment