Evidence map›Paper›PMID 22285984›Full record

ArticleJournal of biomedical informatics2012

Enabling international adoption of LOINC through translation.

Daniel J Vreeman, Maria Teresa Chiaravalloti, John Hook, Clement J McDonald

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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Building a Graph Representation of LOINCAMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    Article
  5. Semantic data interoperability, digital medicine, and e-health in infectious disease management: a review.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    Review
  6. Article
  7. The LOINC RSNA radiology playbook - a unified terminology for radiology procedures.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  8. Article
  9. Article
  10. Article
  11. Possibilities and Implications of Using the ICF and Other Vocabulary Standards in Electronic Health Records.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2015
    Review
  12. Learning from the crowd while mapping to LOINC.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  13. Supporting interoperability of genetic data with LOINC.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  14. A corpus-based approach for automated LOINC mapping.Journal of the American Medical Informatics Association : JAMIA
    Article
  15. Use of Radiology Procedure Codes in Health Care: The Need for Standardization and Structure.Radiographics : a review publication of the Radiological Society of North America, Inc
    Review
  16. A multi-part matching strategy for mapping LOINC with laboratory terminologies.Journal of the American Medical Informatics Association : JAMIA
    Article
  17. 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

4 authors.

Daniel J VreemanRegenstrief Institute, Inc., 410 West 10th Street, Suite 2000, Indianapolis, IN 46202, USA. dvreeman@regenstrief.org
Maria Teresa Chiaravalloti
John Hook
Clement J McDonald

Funding

NLM's Personal Health Record and Consumer Service R&DZIALM008925 · NLM · NATIONAL LIBRARY OF MEDICINE · PI MCDONALD, CLEMENT · 2009 to 2020
$11.8M
Intramural NIH HHS Z99 CL999999Intramural NIH HHS Z99 HL999999Intramural NIH HHS Z99 LM999999Intramural NIH HHS Z99 MH999999NLM NIH HHS HHSN276200800006C
6 · The paper itself

Abstract

Interoperable health information exchange depends on adoption of terminology standards, but international use of such standards can be challenging because of language differences between local concept names and the standard terminology. To address this important barrier, we describe the evolution of an efficient process for constructing translations of LOINC terms names, the foreign language functions in RELMA, and the current state of translations in LOINC. We also present the development of the Italian translation to illustrate how translation is enabling adoption in international contexts. We built a tool that finds the unique list of LOINC Parts that make up a given set of LOINC terms. This list enables translation of smaller pieces like the core component "hepatitis c virus" separately from all the suffixes that could appear with it, such "Ab.IgG", "DNA", and "RNA". We built another tool that generates a translation of a full LOINC name from all of these atomic pieces. As of version 2.36 (June 2011), LOINC terms have been translated into nine languages from 15 linguistic variants other than its native English. The five largest linguistic variants have all used the Part-based translation mechanism. However, even with efficient tools and processes, translation of standard terminology is a complex undertaking. Two of the prominent linguistic challenges that translators have faced include: the approach to handling acronyms and abbreviations, and the differences in linguistic syntax (e.g. word order) between languages. LOINC's open and customizable approach has enabled many different groups to create translations that met their needs and matched their resources. Distributing the standard and its many language translations at no cost worldwide accelerates LOINC adoption globally, and is an important enabler of interoperable health information exchange.

Indexed as

LinguisticsLogical Observation Identifiers Names and CodesMedical InformaticsTranslatingElectronic Health RecordsHumansInternationality

Identifiers

PMID22285984
PMCPMC3376691

What OpenQuestion holds

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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.