Evaluation of the content coverage of SNOMED CT representing ICNP seven-axis version 1 concepts.

OBJECTIVES: The purpose of this study is to evaluate the ability of SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms) to represent the concepts of the ICNP version 1--the seven-axis model. METHODS: The first author mapped 1658 concepts of the ICNP version 1 to SNOMED CT using CLUE browser 5.0. The second author from SNOMED Terminology Solutions--with a team of SNOMED CT experts--and the third author from the ICN with a team of ICNP experts validated the mapping result. If there was any disagreement during the validation process, the three of us convened online meetings to reach a consensus. RESULTS: In total, SNOMED CT covered 1331 out of 1658 (80%) ICNP seven-axis model concepts ranging from a 61% coverage rate of the Actions Axis concepts to a 94% coverage rate of the Judgment axis concepts. CONCLUSIONS: SNOMED CT can represent most (80%) of the ICNP version 1 concepts. However, improvements in the ICNP version 1 in terms of concept naming and definition, and the addition of missing concepts to SNOMED CT, would lead to a greater harmonization of the ICNP seven-axis model version 1 concepts with SNOMED CT.

An evaluation of the usefulness of two terminology models for integrating nursing diagnosis concepts into SNOMED Clinical Terms.

OBJECTIVES: We evaluated the usefulness of two models for integrating nursing diagnosis concepts into SNOMED Clinical Terms (CT). METHODS: First, we dissected nursing diagnosis term phrases from two source terminologies (North American Nursing Diagnosis Association Taxonomy 1 (NANDA) and Omaha System) into the semantic categories of the European Committee for Standardization (CEN) categorical structure and ISO reference terminology model (RTM). Second, we critically analyzed the similarities between the semantic links in the CEN and ISO models and the semantic links used to formally define diagnostic concepts in SNOMED CT. RESULTS: Our findings demonstrated that focus, bearer/subject of information, and judgment were present in 100% of the NANDA and Omaha term phrases. The Omaha term phrases contained no additional descriptors beyond those considered mandatory in the CEN and ISO models. The comparison among the semantic links showed that SNOMED CT currently contains all but one of the semantic links needed to model the two source terminologies for integration. In conclusion, our findings support the potential utility of the CEN and ISO models for integrating nursing diagnostic concepts into SNOMED CT.

An evaluation of the utility of the CEN categorical structure for nursing diagnoses as a terminology model for integrating nursing diagnosis concepts into SNOMED.

We evaluated the utility of the CEN Categorical Structure for Nursing Diagnoses as a terminology model for integrating nursing diagnosis concepts into SNOMED. First, we dissected nursing diagnosis term phrases from two source terminologies (North American Nursing Diagnosis Association (NANDA) Taxonomy 1 and Omaha System) into the semantic categories of the CEN categorical structure. Second, we critically analyzed the similarities between the semantic links in the CEN model and the semantic links used to formally define diagnostic concepts in SNOMED RT and SNOMED CT. Our findings demonstrated that focus, bearer, and judgment were present in 100% of the NANDA and Omaha term phrases. The Omaha term phrases contained no additional descriptors beyond those considered mandatory in the CEN model. In contrast, at least 3% of NANDA diagnoses included a term in each semantic category of the categorical structure. The comparison among the semantic links showed that neither SNOMED RT and SNOMED CT currently contain all the semantic links needed to model the two source terminologies for integration. In conclusion, our findings support the potential utility of the CEN categorical structure as a terminology model for dissecting nursing diagnostic concepts for integration into SNOMED RT and SNOMED CT. However, in order to accomplish this task, appropriate semantic links must be added to SNOMED RT and SNOMED CT.

Challenges in the development and testing of a reference terminology model for nursing interventions.

The purpose of this paper is to report the work of the Interventions Group of the first Nursing Terminology Summit (1999) and to describe the challenges and insights of this group as they have evolved a reference terminology model for nursing interventions. When the group began its work as part of the first meeting of the Nursing Terminology Summit, it had the overall objective of proposing the intervention component of a reference terminology model for nursing. Although there is not a definitive proposal for this to date, the group's exploration and analysis has clarified and explicated both the types of models of clinical information and the current " state of the art" of formal representations of nursing interventions as well as the relationship of nursing languages to these formal representations. In addition, it is our perspective that the work of this group is representative of the process and challenges facing many similar groups currently engaged in modeling efforts. Consequently, critical success factors of such efforts are identified and discussed. This paper reports both the specific outputs of the group related to progress in defining a terminology model of nursing interventions and observations and lessons learned regarding consensus modeling work.

The SNOMED RT Procedure Model.

BACKGROUND: SNOMED RT represents a fundamental change from prior versions of SNOMED. The logic-based structure of SNOMED RT enables concepts to be defined more explicitly, providing an opportunity to address inconsistencies and ambiguities present in prior SNOMED concept definitions. OBJECTIVES: Create a unifying organizational strategy for all SNOMED RT procedures, and remove ambiguities in procedure concept definitions. METHODS: A comprehensive model of procedures was developed, based on a set of guiding principles and a review of known existing models. RESULTS: All SNOMED RT procedures are categorized by a common set of "root procedures" (high level atomic actions), and are more explicitly defined by a shared set of defining relationships. CONCLUSIONS: While the objectives have largely been met, open issues continue to be addressed. The similarity between procedure models of SNOMED RT and the U.K. s Clinical Terms Version 3 is proving to greatly facilitate the full integration of the two terminologies into a merged vocabulary to be known as SNOMED Clinical Terms (SNOMED CT), slated to be released in the near future.

An evaluation of ICNP intervention axes as terminology model components.

In this paper we evaluate selected axes of the International Classification of Nursing Practice (ICNP) as terminology model components for nursing actions by dissecting and categorizing two data sets of term phrases (Patient Care Data Set and Home Health Care Classification). Second, we critically analyze the relationships between the ICNP axes and terminology model components used to formally define procedures (including nursing actions) in SNOMED RT. Our findings demonstrate that the semantic categories represented by the ICNP intervention axes are relevant sources for terminology model components for nursing actions. In addition, our findings suggest that only minimal additions or extensions to the current semantic links of SNOMED RT are needed to support the formal definition of nursing actions such as those contained in PCDS and HHCC.