INTERNATIONAL JOURNAL OF APPLIED SCIENCES AND MATHEMATICAL THEORY (IJASMT )

E- ISSN 2489-009X
P- ISSN 2695-1908
VOL. 8 NO. 4 2022
DOI: 10.56201/ijasmt.v8.no4.2022.pg91.101


Ontology -Based Data Integration Methods: Framework for Medical Process

Duru Rosetta Okwuchi., Agbakwuru A. Onyekachi., Amanze Bethran C., Agbasonu V. Chinedum


Abstract


The research addressed the problems, by having a hybrid of ontologies and virtual data integration in order to enhance medical intelligence process. A hybrid model for enhance medical intelligence process using ontology based and virtual data integration technique were developed. The design provided for a database system for storing medical records, software for enhanced Medical Intelligence Process that would be more user-friendly, flexible, adaptive, intelligent, agile and automatic in integrating and analyzing medical data thereby helping medical practitioners at various levels to make realistic intelligent and real-time decision on critical health issues. Object Oriented Analysis and Design Methodology (OOADM) were adopted in the design of the system. The system achieved integration of various patients medical records from different hospitals using ontology based and virtual data integration technique that will allow clinic data of one patient collected together to form a Combinational resource, and could be accessed by physician if authority is assigned to the physician


keywords:

Patients, Medical Records, OOADM, Hospitals


References:


Rosse, C. ,Mejino,J.L.V. (2013) A reference ontology for biomedical informatics: the

Foundational Model of AnatomyJ Biomed Inform, 36 (2003), pp. 478-500 Article

Download PDFView Record in Scopus Google Scholar
Ouwens, M. ,Wollersheim, H. , Hermens, R. , Hulscher, M. , Grol,R. (2015) Integrated care

programmes for chronically ill patients: a review of systematic reviews. Int J Qual

Health-Care, 17 (2) (2005), pp. 141-146
Bianchi,S. et al., (2019) “Biomedical data integration - capturing similarities while preserving

disparities,” Conf. Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med.

Biol. Soc. Annu. Conf., vol. 2019, pp. 4654–4657, 2019.
Heldt,T. and Verghese, G. C. (2010) “Model-based data integration in clinical environments,”

Conf. Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Helena,
V.& Lidia, R. (2009) “Ontology-based Data Warehouse Development Process”
Proceedings of
the ITI 2009 31st Int. Conf. on Information Technology Interfaces, June 2225, 2009, Cavtat,
Croatia, retrieved on June, 2021.

Vipul, K., Kei-Hoi, C., Donald, D., Matthias, S., Scott, M., Joanne, L., Susie, S., Ivan, H. and

Raymond, H. (2008) “Chapter 5 An Application Of Ontology-Based Data Integration

For Biomedical Research” retrieved on May, 2016
Virginija, U.& Rimantas, B. (2011) “Ontology-based Foundations for Data Integration”

BUSTECH 2011: The First International Conference on Business Intelligence and

Technology Copyright (c) IARIA, 2011. ISBN: 978-1-61208-160-1 retrieved on

October, 2014
Bostjan, G., Vili, P. (2014) Automating ontology based information integration using service

orientation. Faculty of electrical engineering and computer science University of Maribor

Smetanova ulica 17, 2014 Maribor SLOVENIA
Letizia, T. C. (2016) “An Ontology-Based Data Integration System: Solving Semantic

Inconsistencies” Relatore: Letizia Tanca Correlatore: Ing. Carlo Curino Tesi di Laurea

di: Giorgio ORSI matr. 674222 Anno Accademico 2015-2016, retrieved on October,

2020
Longbing, C., Chengqi, Z., & Jiming, L., (2015) “Ontology-Based Integration of Business

Intelligence” Retrieved from www.w639.pdf/ on Dec.5, 2017
Hema, M. S. & Chandramathi, S., (2013) “Quality Aware Service Oriented Ontology Based Data

Integration” WSEAS Transactions on Computers E-ISSN: 2224-2872 Issue 12, Volume

12, December 2013, retrieved on November, 2015


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