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Park, Kim, Chang, and Hong: Implementation of Ontology-based Clinical Decision Support System for Management of Interactions Between Antihypertensive Drugs and Diet
Original Article

Journal of Korean Academy of Nursing 2014; 44(3): 294-304.

Published online: 30 June 2014

DOI: https://doi.org/10.4040/jkan.2014.44.3.294

Implementation of Ontology-based Clinical Decision Support System for Management of Interactions Between Antihypertensive Drugs and Diet

Jeong-Eun Park1, Hwa-Sun Kim2, Min-Jung Chang3, Hae-Sook Hong1

1College of Nursing, Kyungpook National University, Daegu, Korea.

2Department of Medical Information Technology, Daegu Haany University, Daegu, Korea.

3Yonsei Institute of Pharmaceutical Sciences, College of Pharmacy, Yonsei University, Seoul, Korea.

Address reprint requests to: Hong, Hae-Sook. College of Nursing, Kyungpook National University, 680 Gukchaebosang-ro, Jung-gu, Daegu 700-422, Korea. Tel: +82-53-420-4932, Fax: +82-53-421-2758, hshong@knu.ac.kr

Received 3 March 2014       Revised 17 March 2014       Accepted 9 May 2014

© 2014 Korean Society of Nursing Science

(open-access):

This is an Open Access article distributed under the terms of the Creative Commons Attribution NoDerivs License. (http://creativecommons.org/licenses/by-nd/4.0/) If the original work is properly cited and retained without any modification or reproduction, it can be used and re-distributed in any format and medium.

Abstract

Purpose

The influence of dietary composition on blood pressure is an important subject in healthcare. Interactions between antihypertensive drugs and diet (IBADD) is the most important factor in the management of hypertension. It is therefore essential to support healthcare providers' decision making role in active and continuous interaction control in hypertension management. The aim of this study was to implement an ontology-based clinical decision support system (CDSS) for IBADD management (IBADDM). We considered the concepts of antihypertensive drugs and foods, and focused on the interchangeability between the database and the CDSS when providing tailored information.

Methods

An ontology-based CDSS for IBADDM was implemented in eight phases: (1) determining the domain and scope of ontology, (2) reviewing existing ontology, (3) extracting and defining the concepts, (4) assigning relationships between concepts, (5) creating a conceptual map with CmapTools, (6) selecting upper ontology, (7) formally representing the ontology with Protégé (ver.4.3), (8) implementing an ontology-based CDSS as a JAVA prototype application.

Results

We extracted 5,926 concepts, 15 properties, and formally represented them using Protégé. An ontology-based CDSS for IBADDM was implemented and the evaluation score was 4.60 out of 5.

Conclusion

We endeavored to map functions of a CDSS and implement an ontology-based CDSS for IBADDM.

Keywords: Ontology, Clinical decision support system (CDSS), Interactions between antihypertensive drug and diet

Figures and Tables

Figure 1
The research framework and system architecture.
jkan-44-294-g001
Figure 2
Entity relationship diagram (ERD).
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Figure 3
OWL representation of IBADDM ontology.
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Figure 4
Screenshot of ontology and JAVA prototype application.
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Table 1
Scores of Evaluation on the Representation (N=7)
jkan-44-294-i001

Notes

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education(No. NRF-2009-0066546).

This Research was supported by Kyungpook National University Research Fund, 2013.

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