Korean J Women Health Nurs.  2013 Mar;19(1):1-12. 10.4069/kjwhn.2013.19.1.1.

Construction of the Nursing Diagnosis Ontology in Obstetric and Gynecologic Nursing Unit using Nursing Process and SNOMED CT

• Park JE
• Chung KA
• Cho H
• Kim HS

• KMID: 2307960
• DOI: http://doi.org/10.4069/kjwhn.2013.19.1.1

Abstract

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.

Keyword

Nursing process; Nursing diagnosis; SNOMED CT; Ontology; Obstetrics and gynecology

MeSH Terms

Electronic Health Records
Iowa
Logic
Nursing Diagnosis
Nursing Process
Nursing Records
Systematized Nomenclature of Medicine

Figure

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  Figure 1 Methodology of nursing diagnosis ontology.

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  Figure 2 Example of nursing diagnosis ontology.

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