ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017
Is the Application of SNOMED CT Concept Model sufficiently Quality Assured?
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Phenotype execution and modeling architecture to support disease surveillance and real-world evidence studies: English sentinel network evaluation.JAMIA open · 2024Article
- Digital child health: opportunities and obstacles. A joint statement of European Academy of Paediatrics and European Confederation of Primary Care Paediatricians.Frontiers in pediatrics · 2023Review
- Axiomatizing SNOMED CT Disorders: Should There Be Room for Interpretation?Formal ontology in information systems : proceedings of the ... International Conference. FOIS (Conference) · 2023Article
- Diagnostic code agreement for electronic health records and claims data for tuberculosis.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The terminological content of SNOMED CT, the world's largest clinical terminology is linked to description logics expressions, which give support to consider SNOMED CT a formal ontology. The Terminology Quality Assurance (TQA) of such a terminology resource is hampered by errors in modeling, which act as a barrier for the successful use of electronic health records to ensure semantic interoperability. One application case is the new version of ICD, now in its pre-final form, the content of which is based on a subset of SNOMED CT. The ongoing alignment exercise has highlighted significant modeling issues in more than one third of cases that contrasted SNOMED CT concept model instances with the intuitive meaning given by their Fully Specified Names or synonyms lexically mapped to ICD-11 class names. We recommend prioritizing SNOMED CT TQA on the subset of the core SNOMED CT content to constitute the always true common ontology between SNOMED CT and ICD-11.
Indexed as
Identifiers
29854218PMC5977666What OpenQuestion holds
Registered trials
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.