An intelligent edge computing based semantic gateway for healthcare systems interoperability and collaboration
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Publication date
2018-09Keyword
Internet of Things (IoT)Healthcare interoperability
Smart gateway
Semantic web
Ontology
Sensor networks
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© 2018 IEEE. Reproduced in accordance with the publisher's self-archiving policy.Peer-Reviewed
YesOpen Access status
openAccess
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Show full item recordAbstract
The use of Information and Communications Technology (ICTs) in healthcare has the potential of minimizing medical errors, reducing healthcare cost and improving collaboration between healthcare systems which can dramatically improve the healthcare service quality. However interoperability within different healthcare systems (clinics/hospitals/pharmacies) remains an issue of further research due to a lack of collaboration and exchange of healthcare information. To solve this problem, cross healthcare system collaboration is required. This paper proposes a conceptual semantic based healthcare collaboration framework based on Internet of Things (IoT) infrastructure that is able to offer a secure cross system information and knowledge exchange between different healthcare systems seamlessly that is readable by both machines and humans. In the proposed framework, an intelligent semantic gateway is introduced where a web application with restful Application Programming Interface (API) is used to expose the healthcare information of each system for collaboration. A case study that exposed the patient's data between two different healthcare systems was practically demonstrated where a pharmacist can access the patient's electronic prescription from the clinic.Version
Accepted manuscriptCitation
Sigwele T, Hu YF, Ali M et al (2018) An intelligent edge computing based semantic gateway for healthcare systems interoperability and collaboration. In: 2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud). 6-8 Aug 2018. Barcelona, Spain.Link to Version of Record
https://doi.org/10.1109/FiCloud.2018.00060Type
Conference paperae974a485f413a2113503eed53cd6c53
https://doi.org/10.1109/FiCloud.2018.00060