3.21.2008

How geeky?

This geeky. Behold, my "information literacy assignment" busywork. It's meant to be an annotated bibliography, since apparently associate degree nursing students can't be bothered with proper academic papers. Ah well. I suppose I'll have plenty of opportunities to do actual research in graduate school.

Simpson, R.L. (2007). INCP: the language of worldwide nursing. Nursing Management, 38(2), 15, 18.
This article introduces the combinatorial taxonomy created by the INCP, and goes into some of the history of the organization and it's effort to establish a unified, non-enumerated nursing diagnostic taxonomy. It focuses on the benefit and necessity of an international diagnostic standard, but does not discuss it's combinatorial vs. enumerated nature at length.

Bales, M. E., Johnson, S. B., & Lussier, Y. A. (2007). Topological analysis of large-scale biomedical terminology structures. Journal of the American Medical Informatics Association, Nov-Dec; 14(6), 788-797.
This study compares several controlled terminologies gleaned from the Unified Medical Language System Metathesaurus and evaluates them for flexibility and growth potential. It concludes that some of the most effective controlled terminologies are indistinguishable from natural language networks. This is crucial research into the development of scalable terminologies, as it deepens understanding of how logic-based rule sets can evolve and change similarly to social networks and biological systems.

Mrayyan, M. T. (2005). The influence of standardized language on nurses' autonomy. Journal of Nursing Management, 13(3), 238-241.
This article discusses some of the ways in which standardized language systems add to or detract from nurses' autonomy. It concludes that mastery of the standardized language equates to mastery over nursing practice, and suggests that nurses master their standardized languages, whatever they may be, to increase their autonomy.

Hardiker, N. R., & Rector, A. L. (2001). Structural validation of nursing terminologies. Journal of the American Medical Informatics Association, May-Jun; 8(3), 212-221.
This research article is an experiment in using the ICNP to generate diagnoses that are already present in the NANDA. It was an interesting measure of the accuracy and completeness of this prototypical combinatorial nursing diagnosis taxonomy. It suggests that combinatorial taxonomies may be useful in automatically generating enumerated diagnostic taxonomies (like NANDA) on-the-fly, with the aim of refining and validating both techniques.

Henry, S. B., Moen, A., & Warren, J. J. (1999). Representing nursing judgements in the electronic health record. Journal of Advanced Nursing, 30(4), 990-997.
This article is a review of the progress made as NANDA and the ICNP evolve through multiple versions. It corelates these changes with suggestions by the Computer-based Patient Record Institute. It notes that improvements need to be made in granularity (depth and detail). Like many of the other articles, it suggests that the different approaches continue to refine and compliment each-other rather than becoming a replacement.


Button, P., Henry, S. B., Lange, L., & Warren, J. J. (1998). A review of major nursing vocabularies and the extent to which they have the characteristics required for implementation in computer-based systems: focus on implementation of nursing vocabularies in systems. Journal of the American Medical Informatics Association, Jul-Aug; 5(4), 321-328.
This article compares NANDA and the ICNP with the Home Health Care classification system, the Omaha System, the Nursing Interventions Classification and the Nursing Outcomes classification to determine their suitability for implementation in computer-based systems. None of the systems analyzed met the following criteria. Clear and non-redundant representation of concepts, administrative cross-references, syntax and grammar, synonyms, uncertainty, context-free identifiers and language independence. Looks like nursing diagnosis taxonomies, enumerated or combinatorial, still have a long way to go!

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