Journal of Engineering and Scientific Research (JESR)
Vol 1, No 2 (2019)

SIMILARITY ANALYZER FOR SEMANTIC INTEROPERABILITY OF ELECTRONIC HEALTH RECORDS USING ARTIFICIAL INTELLIGENCE (AI)

Naveed, Yim Fun Hu, Tshiamo Sigwele, Ghulam Mohi-Ud-Din, Misfa Susanto, Muhammad Ali, Arjmand (Unknown)

Article Info

Publish Date
10 Apr 2020

Abstract

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.

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Journal Info
Journal of Engineering and Scientific Research (JESR)
Website

Abbrev

ojs

Publisher

Universitas Lampung

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering

Description

The focus and scopes of JESR is on but not limited to Mechanical Engineering and Material Sciences, Chemical and Environmental, Industrial and Manufacturing Engineering, Computer and Information Technology, Electrical and Telecommunication, Civil and Geodetic Engineering, Architecture and Urban ...