Implementation of Ontology-based Clinical Decision Support System for Management of Interactions Between Antihypertensive Drugs and Diet.
10.4040/jkan.2014.44.3.294
- Author:
Jeong Eun PARK
1
;
Hwa Sun KIM
;
Min Jung CHANG
;
Hae Sook HONG
Author Information
1. College of Nursing, Kyungpook National University, Daegu, Korea. hshong@knu.ac.kr
- Publication Type:Original Article ; English Abstract
- Keywords:
Ontology;
Clinical decision support system (CDSS);
Interactions between antihypertensive drug and diet
- MeSH:
Antihypertensive Agents/*therapeutic use;
Biological Ontologies;
Databases, Factual;
*Decision Support Systems, Clinical;
*Diet;
Drug Interactions;
Humans;
Hypertension/*drug therapy;
Software
- From:Journal of Korean Academy of Nursing
2014;44(3):294-304
- CountryRepublic of Korea
- Language:Korean
-
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.
