Semantic Web-Based Blueprint for Digital Healthcare in A Resource Constrained Environment: Towards A Connected Healthcare Ecosystem

Tonguo, Ludovic; Mvelase, Promise; Coleman, Alfred

doi:10.1109/imitec50163.2020.9334079

Cited by 1 publication

(4 citation statements)

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“…However, only two publications presented evaluation procedures from the vast portion of information management system-related work (see Table 7 ). Tonguo et al [ 25 ] used BioMedLib to evaluate a system that takes a user's search query and pulls articles from millions of national biomedical article databases. Another one used evaluation criteria like D2RQ for default semantic mapping generation [ 83 ].…”

Section: Discussionmentioning

confidence: 99%

Section: Information Managementmentioning

confidence: 99%

“…Abidi and Hussain [ 9 ] created two levels to characterize different ontological models to establish morphing. BioMedLib Search Engine creation for economic efficiency helped to develop a Semantic Web framework for rural people [ 25 ]. The Metamorphosis installation wizard converted the text format UMLS into a MySQL database UMLS in order to access a SPARQL endpoint [ 93 ].…”

Section: Analysis Of the Selected Articles: Thematic Areasmentioning

confidence: 99%

“…SW combined with AI, IoT, and other technologies has produced a smart healthcare system that enables the standardization and depiction of medical data [ 1 , 23 , 24 ]. In terms of economic efficiency, the Semantic Web-Based Healthcare Framework (SWBHF) is said to benchmark the existing BioMedLib Search Engine [ 25 ]. SW also offered a new user-oriented dataset information resource (DIR) to boost dataset knowledge and health informatics [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

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Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues

Haque

Arifuzzaman

Siddik

et al. 2022

International Journal of Clinical Practice

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Today, healthcare has become one of the largest and most fast-paced industries due to the rapid development of digital healthcare technologies. The fundamental thing to enhance healthcare services is communicating and linking massive volumes of available healthcare data. However, the key challenge in reaching this ambitious goal is letting the information exchange across heterogeneous sources and methods as well as establishing efficient tools and techniques. Semantic Web (SW) technology can help to tackle these problems. They can enhance knowledge exchange, information management, data interoperability, and decision support in healthcare systems. They can also be utilized to create various e-healthcare systems that aid medical practitioners in making decisions and provide patients with crucial medical information and automated hospital services. This systematic literature review (SLR) on SW in healthcare systems aims to assess and critique previous findings while adhering to appropriate research procedures. We looked at 65 papers and came up with five themes: e-service, disease, information management, frontier technology, and regulatory conditions. In each thematic research area, we presented the contributions of previous literature. We emphasized the topic by responding to five specific research questions. We have finished the SLR study by identifying research gaps and establishing future research goals that will help to minimize the difficulty of adopting SW in healthcare systems and provide new approaches for SW-based medical systems’ progress.

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Section: Discussionmentioning

confidence: 99%

Section: Information Managementmentioning

confidence: 99%

Section: Analysis Of the Selected Articles: Thematic Areasmentioning

confidence: 99%