Representing nursing judgements in the electronic health record

The naming of nursing phenomena and representing the phenomena in a standardized manner suitable for encoding in computer-based systems is a challenge for the nursing profession at the national and the international level. Considerable progress has been made in the development of classification systems for nursing practice. The focus of this article is on language systems developed to represent nursing judgements in computer-based systems, in particular the electronic health record. A review of two current systems and their proposed revisions (North American Nursing Diagnosis Association, NANDA, Taxonomies I and II, and the International Classification for Nursing Practice, ICNP, Alpha and Beta versions), according to the features suggested by the Computer-based Patient Record Institute (CPRI) for classification systems appropriate for implementation in computer-based systems, suggests that the evolving versions extend the current versions in terms of sufficient granularity (depth and level of detail) and atomic and compositional character. However, it is not clear from the literature available to date whether the characteristics that are most closely related to definition of a formal terminology (i.e. clear and non-redundant representation of concepts, syntax and grammar for logical constructions of compositional terms, synonyms and language independence) will be part of the evolving vocabularies. Formal terminology models and related tools have the potential to complement, extend, and refine existing nursing classification systems.