Affiliation:
1. Cape Peninsula University of Technology, South Africa
2. St. Pölten University of Applied Sciences, Austria
Abstract
Resource-limited settings (RLS) are characterised by lack of access to adequate resources such as ICT infrastructure, qualified medical personnel, healthcare facilities, and affordable healthcare for common people. The potential for the application of AI and clinical decision support systems in RLS are limited due to these challenges. Towards the improvement of the status quo, this chapter presents the conceptual design of a framework for the semantic integration of health data from multiple sources to facilitate decision support for the diagnosis and treatment of gait-related diseases in RLS. The authors describe how the framework can leverage ontologies and knowledge graphs for semantic data integration to achieve this. The plausibility of the proposed framework and the general imperatives for its practical realisation are also presented.
Reference47 articles.
1. Adebesin, F., Foster, R., Kotzé, P., & Van Greunen, D. (2013). A Review of Interoperability Standards in E-health and Imperatives for their Adoption in Africa. South African Computer Journal, 50.
2. eHealth integration and interoperability issues: towards a solution through enterprise architecture
3. Aldred, L., van der Aalst, W., Dumas, M., & ter Hofstede, A. (2006). Understanding the challenges in getting together: The semantics of decoupling in middleware. BPM Center Report BPM-06-19, BPMcenter. org.
4. Using Linked Electronic Health Records to Estimate Healthcare Costs: Key Challenges and Opportunities
5. Semantic Integration of Heterogeneous Databases of Same Domain Using Ontology.;M.Asfand-E-Yar;IEEE Access : Practical Innovations, Open Solutions,2020
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献