Korean J Women Health Nurs KJWHN Korean Journal of Women Health Nursing 2287-1640 2093-7695 Korean Society of Women Health Nursing 10.4069/kjwhn.2013.19.1.1 Original Article Construction of the Nursing Diagnosis Ontology in Obstetric and Gynecologic Nursing Unit using Nursing Process and SNOMED CT Park Jeong-Eun 1 Chung Kwi-Ae 2 Cho Hune 1 Kim Hwa Sun 3 Department of Medical Informatics, Kyungpook National University, Daegu, Korea. School of Nursing, Yenungnam College of Science & Technology, Daegu, Korea. Department of Medical Information Technology, Daegu Haany University, Daegu, Korea. Corresponding author: Kim, Hwa Sun. Department of Medical Information Technology, Daegu Haany University, 1 Hanui-daero, Gyeongsan 712-715, Korea. Tel: +82-53-819-1591, Fax: +82-53-819-1271, daspula@daum.net 03 2013 25 03 2013 19 1 1 12 26 09 2012 21 12 2012 25 01 2013 © 2013 Korean Society of Women Health Nursing 2013

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

 Purpose

This study was performed to propose an ontology methodology based on standardized nursing process as framework in obstetric and gynecologic nursing practice.

 Methods

The instrument used in this study was based on the nursing diagnosis classification established by North American Nursing Diagnosis Association (NANDA) (2009-2011), fifth edition of the Nursing Interventions Classification (NIC) (2008), forth edition of the Nursing Outcomes Classification (NOC) (2008) developed by Iowa State University and systematized nomenclature of medicine clinical terms (SNOMED CT). The nursing records data were collected from electronic medical records of one hospital from August to October 2010.

 Results

One hundred and forty-one nursing diagnosis statements used in obstetric and gynecologic nursing unit were linked standardized nursing classifications and constructed nursing diagnosis ontology including interoperability.

 Conclusion

Not only will this result be helpful to complete nurse's lack of knowledge and experience, it will also help to determine nursing diagnosis logically by using standardized nursing process. It will be utilized as the method to construct ontology including interoperability in other nursing units. It will be presented nursing interventions according to nursing diagnosis and thus will be easier to establish nursing planning. This can provide immediate feedback of the nursing process application.

 Nursing process Nursing diagnosis SNOMED CT Ontology Obstetrics and gynecology

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of education, Science and Technology (No.2012-004829) and this research was supported by Kyungpook National University Research Fund, 2012.

This article is based on a part of the first author's master's thesis from Kyungpook National University.

 Summary Statement

▪ What is already known about this topic?

Nursing process is the common guideline uniting different types of nurses who work in varied areas and essential core of nursing practice. Nonetheless, nurses' do not use nursing process for various reasons.

▪ What this paper adds?

Knowledge system about nursing process in obstetric and gynecologic nursing unit was constructed using a standardized nursing process and SNOMED CT. It's constructed based on the ontology;and will be reused in other clinical terms and nursing units.

▪ Implications for practice, education and/or policy

Not only it will be helpful to complete nurse's lack of knowledge and experience to determine nursing diagnosis logically, but will be easier to establish nursing planning andnursing interventions according to nursing diagnosis.

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Methodology of nursing diagnosis ontology.

Example of nursing diagnosis ontology.

Domains and Frequency of Codes and Labels of Nursing Diagnoses in Nursing Diagnosis Statements

Mapping between 113 Factors and SNOMED CT

OWL Representation of Nursing Diagnosis Ontology