Evidence map›Paper›PMID 22802268›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Mapping local laboratory interface terms to LOINC at a German university hospital using RELMA V.5: a semi-automated approach.

Christian Zunner, Thomas Bürkle, Hans-Ulrich Prokosch, Thomas Ganslandt

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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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Logical Observation Identifiers Names and Codes (LOINCDiagnostics (Basel, Switzerland) · 2021
    Article
  4. Article
  5. Building a Graph Representation of LOINCAMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    Article
  6. Learning from the crowd while mapping to LOINC.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. A multi-part matching strategy for mapping LOINC with laboratory terminologies.Journal of the American Medical Informatics Association : JAMIA
    Article
  14. A corpus-based approach for automated LOINC mapping.Journal of the American Medical Informatics Association : JAMIA
    Article
4 · The record

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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.

Christian ZunnerFriedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany. christian.zunner@uk-erlangen.de
Thomas Bürkle
Hans-Ulrich Prokosch
Thomas Ganslandt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLogical Observation Identifiers Names and Codes (LOINC) mapping of laboratory data is often a question of the effort of mapping compared with the benefits of the structure achieved. The new LOINC mapping assistant RELMA (version 2011) has the potential to reduce the effort required for semi-automated mapping. We examined quality, time effort, and sustainability of such mapping.

methodsTo verify the mapping quality, two samples of 100 laboratory terms were extracted from the laboratory system of a German university hospital and processed in a semi-automated fashion with RELMA V.5 and LOINC V.2.34 German translation DIMDI to obtain LOINC codes. These codes were reviewed by two experts from each of two laboratories. Then all 2148 terms used in these two laboratories were processed in the same way.

resultsIn the initial samples, 93 terms from one laboratory system and 92 terms from the other were correctly mapped. Of the total 2148 terms, 1660 could be mapped. An average of 500 terms per day or 60 terms per hour could be mapped. Of the laboratory terms used in 2010, 99% could be mapped. DISCUSSION: Semi-automated LOINC mapping of non-English laboratory terms has become promising in terms of effort and mapping quality using the new version RELMA V.5. The effort is probably lower than for previous manual mapping. The mapping quality equals that of manual mapping and is far better than that reported with previous automated mapping activities.

conclusionRELMA V.5 and LOINC V.2.34 offer the opportunity to start thinking again about LOINC mapping even in non-English languages, since mapping effort is acceptable and mapping results equal those of previous manual mapping reports.

Indexed as

Electronic Health RecordsInformation DisseminationLogical Observation Identifiers Names and CodesSystems IntegrationUser-Computer InterfaceAutomationBiomedical ResearchClinical Laboratory Information SystemsGermanyHumans

Identifiers

PMID22802268
PMCPMC3638185

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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.