Evidence map›Paper›PMID 22210167›Full record

ArticleJournal of biomedical informatics2012

An approach to improve LOINC mapping through augmentation of local test names.

Hyeoneui Kim, Robert El-Kareh, Anupam Goel, F N U Vineet, Wendy W Chapman

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Logical Observation Identifiers Names and Codes (LOINCDiagnostics (Basel, Switzerland) · 2021
    Article
  6. Article
  7. Automated Mapping of Real-world Oncology Laboratory Data to LOINC.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021
    Article
  8. Article
  9. Article
  10. Learning from the crowd while mapping to LOINC.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  11. Article
  12. Article
  13. Article
  14. A multi-part matching strategy for mapping LOINC with laboratory terminologies.Journal of the American Medical Informatics Association : JAMIA
    Article
  15. A corpus-based approach for automated LOINC mapping.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.

Hyeoneui KimDivision of Biomedical Informatics, University of California, San Diego, La Jolla, CA 92093-05, USA. hyk038@ucsd.edu
Robert El-Kareh
Anupam Goel
F N U Vineet
Wendy W Chapman

Funding

iDASH: Integrating Data for Analysis, Anonymization, and SharingU54HL108460 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2010 to 2015
$19.1M
SCANNER: Scalable National Network for Effectiveness ResearchR01HS019913 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2010 to 2010
$8.3M
AHRQ HHS R01 HS019913AHRQ HHS R01HS19913-01NHLBI NIH HHS 1U54HL108460-01NHLBI NIH HHS U54 HL108460
6 · The paper itself

Abstract

Mapping medical test names into a standardized vocabulary is a prerequisite to sharing test-related data between health care entities. One major barrier in this process is the inability to describe tests in sufficient detail to assign the appropriate name in Logical Observation Identifiers, Names, and Codes (LOINC®). Approaches to address mapping of test names with incomplete information have not been well described. We developed a process of "enhancing" local test names by incorporating information required for LOINC mapping into the test names themselves. When using the Regenstrief LOINC Mapping Assistant (RELMA) we found that 73/198 (37%) of "enhanced" test names were successfully mapped to LOINC, compared to 41/191 (21%) of original names (p=0.001). Our approach led to a significantly higher proportion of test names with successful mapping to LOINC, but further efforts are required to achieve more satisfactory results.

Indexed as

Diagnostic Techniques and ProceduresElectronic Health RecordsLogical Observation Identifiers Names and CodesHumansUser-Computer Interface

Identifiers

PMID22210167
PMCPMC3340474

What OpenQuestion holds

Textmetadata
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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.