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Development of an evidence-based foundation for a Belgian nursing reference set in SNOMED CT

Jerno Thys et al.

Health Informatics Journal2026https://doi.org/10.1177/14604582251414237article
ABDC C
Weight
0.50

What the paper says

<b>Objective.</b> To provide a SNOMED CT nursing reference set to exchange unambiguous nursing data across different care settings. <b>Methods.</b> To develop a nursing Reference Set, Standardized Nursing Languages (SNLs) are analyzed and tested for applicability in the nursing Reference Set. A guidance committee is assembled to supervise the process. <b>Results.</b> The Clinical Care Classification (CCC) and International Classification of Nursing Practice (ICNP) are retained after analysis of 7 SNLs. From CCC and ICNP, 381 concepts are excluded. The final SNOMED CT nursing Reference Set contains 2633 unique SNOMED CT concepts. The Reference Set aims to provide all concepts necessary to document nursing documentation across different care settings. <b>Conclusion.</b> Further refinement of the Reference Set is necessary to validate the Reference Set by consulting clinical experts from different nursing domains and adapt accordingly. Continuous updates to the Reference Set must be supported with both clinical input and technical requirements from SNOMED International.

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https://doi.org/https://doi.org/10.1177/14604582251414237

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@article{jerno2026,
  title        = {{Development of an evidence-based foundation for a Belgian nursing reference set in SNOMED CT}},
  author       = {Jerno Thys et al.},
  journal      = {Health Informatics Journal},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/14604582251414237},
}

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Development of an evidence-based foundation for a Belgian nursing reference set in SNOMED CT

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.