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KMID : 0603720110170010038
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Journal of Korean Society of Medical Informatics
2011 Volume.17 No. 1 p.38 ~ p.50
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Development of Data Models for Nursing Assess-ment of Cancer Survivors Using Concept Analysis
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Lee Myung-Kyung
Park Hyeoun-Ae
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Abstract
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Objectives: Sharing of cancer-related information among healthcare professionals is crucial to ensuring the quality of long-term care for cancer survivors. Appropriate distribution of the essential facts can be achieved using data models. The purpose of this study was to develop and validate suitable data models for use in the nursing assessment of cancer survivors.
Methods: The models developed in this study were based on a modification of concept analysis developed by Walker and Avant. Our approach involved determining the purpose of the analysis, identifying data elements, defining these elements and their uses, determining critical attributes, value sets, and cardinalities, and ultimately constructing data models which were exam-ined externally by domain experts.
Results: We developed 112 data models with 112 data elements, 29 critical attributes, 102 value sets, and 6 data types for the assessment of cancer survivors. External validation revealed that the data elements, critical attributes, and value sets proposed were comprehensive, relevant, and sufficiently useful to encompass nursing issues related to cancer survivors.
Conslusions: Data models developed in this study will contribute to ensuring the semantic consistency of data collected from cancer survivors, which will improve the quality of nursing assessments and in turn translate to im-proved long-term patient care.
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KEYWORD
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Standards of Care, Nursing Assessment, Quality of Healthcare, Electronic Health Record
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