Naveed, Arjmand and Hu, Yim Fun and Sigwele, Tshiamo and Mohi-Ud-Din, Ghulam and Susanto, Misfa (2019) Similarity Analyzer for Semantic Interoperability of Electronic Health Records Using Artificial Intelligence (AI). Journal of Engineering and Scientific Research (JESR), 1 (2). pp. 53-59. ISSN pISSN: 2685-0338; eISSN: 2685-1695


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The introduction of Electronic Health Records (EHR) has opened possibilities for solving interoperability issues within the healthcare sector. However, even with the introduction of EHRs, healthcare systems like hospitals and pharmacies remain isolated with no sharing of EHRs due to semantic interoperability issues. This paper extends our previous work in which we proposed a framework that dealt with semantic interoperability and security of EHR. The extension is the proposal of a cloud-based similarity analyzer for data structuring, data mapping, data modeling and conflict removal using Word2vec Artificial Intelligence (AI) technique. Different types of conflicts are removed from data in order to model data into common data types which can be interpreted by different stakeholders.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Teknik (FT) > Prodi Teknik Elektro
Depositing User: Dr Misfa Susanto
Date Deposited: 30 May 2020 20:00
Last Modified: 30 May 2020 20:00

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