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A Fuzzy Ontological Infrastructure for Semantic Interoperability in Distributed Electronic Health Record

Ebtsam Adel1, Shaker El-sappagh2, Mohammed Elmogy3, Sherif Barakat1, Kyung-Sup Kwak4,*
1 Information Systems Dept., Faculty of Computers and Information, Mansoura University, Egypt
2 Information Systems Dept., Faculty of Computers and Informatics, Benha University, Egypt
3 Information Technology Dept., Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt
4 Department of Information and Communication Engineering, Inha University, South Korea.
* Corresponding Author: Kyung Sup Kwak,

Intelligent Automation & Soft Computing 2020, 26(2), 237-251. https://doi.org/10.31209/2019.100000151

Abstract

Information technology is a beneficial tool for the healthcare industry. Health informatics is concerned with using ICT within the healthcare system. Different electronic health record (EHR) systems independently store large amounts of medical data in various structures and formats. Achieving semantic interoperability in EHR environments will improve the healthcare industry. In our previous studies, we proposed a framework that identifies the different heterogeneous medical data sources. In this paper, we move towards implementing the first module of that framework. We expect our framework to be a step towards improving performance and reducing both human mediation and data losses.

Keywords

EHR semantic interoperability, XML, LinkEHR, XML2OWL, fuzzy ontology.

Cite This Article

. , "A fuzzy ontological infrastructure for semantic interoperability in distributed electronic health record," Intelligent Automation & Soft Computing, vol. 26, no.2, pp. 237–251, 2020.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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