Evidence map›Paper›PMID 17947616›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

A model for evaluating interface terminologies.

S Trent Rosenbloom, Randolph A Miller, Kevin B Johnson, Peter L Elkin, Steven H Brown

Abstract read
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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Implementing an interface terminology for structured clinical documentation.Journal of the American Medical Informatics Association : JAMIA · 2013
    Article
  10. Article
  11. Article
  12. Article
  13. An interface terminology for medical imaging ordering purposes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012
    Article
  14. Testing Three Problem List Terminologies in a simulated data entry environment.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011
    Article
  15. An empiric analysis of omaha system targets.Applied clinical informatics · 2011
    Article
  16. A method for encoding clinical datasets with SNOMED CT.BMC medical informatics and decision making · 2010
    Article
  17. Biomedical informatics and translational medicine.Journal of translational medicine · 2010
    Review
  18. Article
  19. Using SNOMED CT to represent two interface terminologies.Journal of the American Medical Informatics Association : JAMIA
    Article
  20. Validation of knowledge acquisition for surgical process models.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

5 authors.

S Trent RosenbloomDepartment of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA trent.rosenbloom@vanderbilt.edu
Randolph A Miller
Kevin B Johnson
Peter L Elkin
Steven H Brown

Funding

TIME:(Tools for Inpatient Monitoring using Evidence)for Safe &AppropriateTestingR01LM007995 · NLM · VANDERBILT UNIVERSITY · PI MILLER, RANDOLPH A · 2004 to 2009
$2.1M
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 5K22 LM008576-02NLM NIH HHS 5R01 LM007995NLM NIH HHS K22 LM008576NLM NIH HHS R01 LM007995PHITPO CDC HHS HK00014-01PHITPO CDC HHS U38 HK000014PHPPO CDC HHS PH000022-02PHPPO CDC HHS R01 PH000022
6 · The paper itself

Abstract

objectiveEvaluations of individual terminology systems should be driven in part by the intended usages of such systems. Clinical interface terminologies support interactions between healthcare providers and computer-based applications. They aid practitioners in converting clinical "free text" thoughts into the structured, formal data representations used internally by application programs. Interface terminologies also serve the important role of presenting existing stored, encoded data to end users in human-understandable and actionable formats. The authors present a model for evaluating functional utility of interface terminologies based on these intended uses.

designSpecific parameters defined in the manuscript comprise the metrics for the evaluation model. MEASUREMENTS: Parameters include concept accuracy, term expressivity, degree of semantic consistency for term construction and selection, adequacy of assertional knowledge supporting concepts, degree of complexity of pre-coordinated concepts, and the "human readability" of the terminology. The fundamental metric is how well the interface terminology performs in supporting correct, complete, and efficient data encoding or review by humans.

resultsAuthors provide examples demonstrating performance of the proposed evaluation model in selected instances.

conclusionA formal evaluation model will permit investigators to evaluate interface terminologies using a consistent and principled approach. Terminology developers and evaluators can apply the proposed model to identify areas for improving interface terminologies.

Indexed as

Evaluation Studies as TopicSystematized Nomenclature of MedicineVocabulary, ControlledComprehensionSemanticsUser-Computer Interface

Identifiers

PMID17947616
PMCPMC2274877

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.