Evidence map›Paper›PMID 18952944›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Using SNOMED CT to represent two interface terminologies.

S Trent Rosenbloom, Steven H Brown, David Froehling, Brent A Bauer, Dietlind L Wahner-Roedler, William M Gregg, Peter L Elkin

Abstract readEvaluation Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Biomedical Informatics Investigator.Studies in health technology and informatics · 2018
    Article
  6. Article
  7. Article
  8. Implementing an interface terminology for structured clinical documentation.Journal of the American Medical Informatics Association : JAMIA · 2013
    Article
  9. Article
  10. Article
  11. An interface terminology for medical imaging ordering purposes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012
    Article
  12. Trends in biomedical informatics: most cited topics from recent years.Journal of the American Medical Informatics Association : JAMIA · 2011
    Article
  13. A survey of SNOMED CT direct users, 2010: impressions and preferences regarding content and quality.Journal of the American Medical Informatics Association : JAMIA · 2011
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Migrating existing clinical content from ICD-9 to SNOMED.Journal of the American Medical Informatics Association : JAMIA
    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

7 authors.

S Trent RosenbloomDepartment of Biomedical Informatics, Vanderbilt University, Nashville-TN, USA. trent.rosenbloom@vanderbilt.edu
Steven H Brown
David Froehling
Brent A Bauer
Dietlind L Wahner-Roedler
William M Gregg
Peter L Elkin

Funding

Biosurveillance Utilizing SNOMED-CT Based Natural Language ProcessingR01PH000022 · PH · MAYO CLINIC ROCHESTER · PI ELKIN, PETER L · 2005 to 2007
$1.7M
Testing Evaluation Metrics for Interface TerminologiesK22LM008576 · NLM · VANDERBILT UNIVERSITY · PI ROSENBLOOM, SAMUEL T · 2005 to 2007
$453k
NLM NIH HHS 5K22LM8576-3NLM NIH HHS K22 LM008576PHITPO CDC HHS HK00014-01PHITPO CDC HHS U38 HK000014PHPPO CDC HHS PH000022-02PHPPO CDC HHS R01 PH000022
6 · The paper itself

Abstract

objectiveInterface terminologies are designed to support interactions between humans and structured medical information. In particular, many interface terminologies have been developed for structured computer based documentation systems. Experts and policy-makers have recommended that interface terminologies be mapped to reference terminologies. The goal of the current study was to evaluate how well the reference terminology SNOMED CT could map to and represent two interface terminologies, MEDCIN and the Categorical Health Information Structured Lexicon (CHISL).

designAutomated mappings between SNOMED CT and 500 terms from each of the two interface terminologies were evaluated by human reviewers, who also searched SNOMED CT to identify better mappings when this was judged to be necessary. Reviewers judged whether they believed the interface terms to be clinically appropriate, whether the terms were covered by SNOMED CT concepts and whether the terms' implied semantic structure could be represented by SNOMED CT. MEASUREMENTS: Outcomes included concept coverage by SNOMED CT for study terms and their implied semantics. Agreement statistics and compositionality measures were calculated.

resultsThe SNOMED CT terminology contained concepts to represent 92.4% of MEDCIN and 95.9% of CHISL terms. Semantic structures implied by study terms were less well covered, with some complex compositional expressions requiring semantics not present in SNOMED CT. Among sampled terms, those from MEDCIN were more complex than those from CHISL, containing an average 3.8 versus 1.8 atomic concepts respectively, p<0.001.

conclusionOur findings support using SNOMED CT to provide standardized representations of information created using these two terminologies, but suggest that enriching SNOMED CT semantics would improve representation of the external terms.

Indexed as

Systematized Nomenclature of MedicineUser-Computer InterfaceVocabulary, ControlledHumansSemantics

Identifiers

PMID18952944
PMCPMC2605600

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.