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Related Experiment Videos

Structural validation of nursing terminologies.

N R Hardiker1, A L Rector

  • 1University of Salford, Greater Manchester, United Kingdom. n.r.hardiker@salford.ac.uk

Journal of the American Medical Informatics Association : JAMIA
|April 26, 2001
PubMed
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Combinatorial terminologies like the International Classification for Nursing Practice (ICNP) can form the basis for enumerated classifications. Formal terminological systems, such as GALEN technology, aid in classifying and refining these systems.

Area of Science:

  • Nursing Informatics
  • Health Terminology
  • Classification Systems

Background:

  • Enumerated classifications are essential for organizing health information.
  • Combinatorial terminologies offer a flexible approach to representing clinical concepts.
  • Formal terminological systems can support the development and refinement of classifications.

Purpose of the Study:

  • To assess the suitability of combinatorial terminologies for building enumerated classifications.
  • To evaluate the utility of formal terminological systems in classification processes.
  • To explore the refinement capabilities of formal systems for terminologies and classifications.

Main Methods:

  • A formal model of the International Classification for Nursing Practice (ICNP) was developed using GRAIL.

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  • Terms from the North American Nursing Diagnosis Association (NANDA) Taxonomy I were mapped into the ICNP model.
  • Automated classification was performed using GALEN technology, followed by comparison with the NANDA taxonomy.

    • Main Results:

    • The ICNP model captured 77% of NANDA terms using five of its eight axes.
    • Accuracy analysis revealed agreement, discrepancies, and potential improvements for both systems.
    • Sixty terms were common at the top level of both the generated hierarchy and the NANDA taxonomy.

    Conclusions:

    • Combinatorial terminologies like ICNP can be effectively refined to form the basis of enumerated classifications.
    • Formal terminological systems, exemplified by GALEN, facilitate automated classification and refinement.
    • These technologies enhance the validation and improvement of both combinatorial and enumerated classification systems.