Evidence map›Paper›PMID 41043478›Full record

ArticleApplied clinical informatics2025

Semantic Relations: Extending SNOMED CT and Solor.

Melissa P Resnick, James Hitt, Wilmon McCray, Kendria Hall, Frank LeHouillier, Steven H Brown, Keith E Campbell, Diane Montella, Jonathan Nebeker, Peter L Elkin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Melissa P ResnickDepartment of Biomedical Informatics, University at Buffalo, Buffalo, New York, United States.
James HittDepartment of Biomedical Informatics, University at Buffalo, Buffalo, New York, United States.
Wilmon McCrayDepartment of Biomedical Informatics, University at Buffalo, Buffalo, New York, United States.
Kendria HallDepartment of Biomedical Informatics, University at Buffalo, Buffalo, New York, United States.ORCID 0000-0002-2306-2138
Frank LeHouillierDepartment of Biomedical Informatics, University at Buffalo, Buffalo, New York, United States.
Steven H BrownU.S. Department of Veterans Affairs, Office of Clinical Informatics, Washington, District of Columbia, United States.
Keith E CampbellU.S. Department of Veterans Affairs, Office of Clinical Informatics, Washington, District of Columbia, United States.
Diane MontellaU.S. Department of Veterans Affairs, Office of Clinical Informatics, Washington, District of Columbia, United States.
Jonathan NebekerU.S. Department of Veterans Affairs, Office of Clinical Informatics, Washington, District of Columbia, United States.
Peter L ElkinDepartment of Biomedical Informatics, University at Buffalo, Buffalo, New York, United States.

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
Pain Medication Prescriptions and Misuse Following Treatment for Alcohol Use DisordersR33AA026954 · NIAAA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI ELKIN, PETER L., LEONARD, KENNETH E · 2020 to 2022
$1.0M
Pain Medication Prescriptions and Misuse Following Treatment for Alcohol Use DisordersR21AA026954 · NIAAA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI ELKIN, PETER L., LEONARD, KENNETH E · 2018 to 2019
$386k
National Institutes of Health-National Library of Medicine T15LM012595NCATS NIH HHS UL1 TR001412NIAAA NIH HHS R21 AA026954NIAAA NIH HHS R33 AA026954
6 · The paper itself

Abstract

Terminologies, such as Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) and Solor, assist with knowledge representation and management, data integration, and triggering clinical decision support (CDS) rules. Semantic relations in these terminologies provide explicit meaning in compositional expressions, which assist with many of the above-listed activities.The aims of this research are to: (1) identify semantic relations that are not fully present in SNOMED CT and Solor and (2) use these identified semantic relations with terms that are currently present in SNOMED CT and Solor to form triples.We identified relations that were not fully present in either SNOMED CT or Solor and were important for VA Knowledge Artifacts (KNARTS). These terms and the relations were formed into triples. The relations, terms, classifications, and sentences were used to implement the relations in the High Definition-Natural Language Processing (HD-NLP) program.There are a total of 38 semantic relations. These had use cases built for each and were implemented in the Solor HD-NLP server for tagging of KNARTS.These new SNOMED CT and Solor semantic relations will give clinicians the ability to add more detail and meaning to their clinical notes. This can improve our ability to trigger CDS rules, leading to improved CDS provided to clinicians during patient care.

Indexed as

SemanticsSystematized Nomenclature of MedicineHumansNatural Language Processing

Identifiers

PMID41043478
PMCPMC12494445

What OpenQuestion holds

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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.