J Korean Acad Nurs.  2014 Jun;44(3):294-304. 10.4040/jkan.2014.44.3.294.

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

• Park JE
• Kim HS
• Chang MJ
• Hong HS

• KMID: 1796154
• DOI: http://doi.org/10.4040/jkan.2014.44.3.294

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 Protege (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 Protege. 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.

Keyword

Ontology; Clinical decision support system (CDSS); Interactions between antihypertensive drug and diet

MeSH Terms

Antihypertensive Agents/*therapeutic use
Biological Ontologies
Databases, Factual
*Decision Support Systems, Clinical
*Diet
Drug Interactions
Humans
Hypertension/*drug therapy
Software
Antihypertensive Agents

Figure

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  Figure 1 The research framework and system architecture.

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  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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