Evidence map›Paper›PMID 41133785›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2026

An exploratory analysis of SNOMED CT national editions.

Dennis H Lee, Francis Y Lau

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Dennis H LeeSchool of Health Information Science, University of Victoria, Victoria, BC V8W 2Y2, Canada.ORCID 0009-0002-3799-5956
Francis Y LauSchool of Health Information Science, University of Victoria, Victoria, BC V8W 2Y2, Canada.ORCID 0000-0001-7010-3281

Funding

NIH
6 · The paper itself

Abstract

objectivesThe objectives of this study were to: (1) explore and analyze the structure and content of 19 SNOMED Clinical Terms (SNOMED CT) national editions; (2) identify overlaps and types of quality issues; and (3) offer recommendations to improve the quality of these national editions. MATERIALS AND

methodsWe used expression constraint language and structured query language to analyze and compare the national editions hosted on the SNOMED International SNOMED CT Browser and the International and Canadian Edition Release Format Two files.

resultsThe 19 national editions authored over 275 000 concepts and over 2.1 million descriptions. Modules were used to organize drug extensions, language translations, patient-friendly descriptions, maps, and subsets. The national editions included 27 languages and dialects reference sets, maps to international, national, and local terminologies, and over 1100 subsets. Since 2012, over 28 000 extensions have been promoted to the International Edition. Overlaps were also identified between national editions. DISCUSSION: Challenges of extensions included inconsistent modeling of concepts and quality issues, versioning and maintenance, and risks to semantic interoperability and data analysis. We suggest improved functionality in authoring tools to identify overlapping content across national editions and the incorporation of auditing methods to ensure high-quality extensions, increased collaboration between countries, and the accelerated harmonization of extensions into the International Edition.

conclusionNineteen countries have developed over 2.4 million extension concepts and descriptions, and it is important to harmonize the national editions through ongoing collaboration to maintain the integrity and consistency of SNOMED CT as a global reference terminology.

Indexed as

Systematized Nomenclature of MedicineCanadacontrolledsystematized nomenclature of medicineterminology as topicvocabulary

Identifiers

PMID41133785
PMCPMC12844573

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.