Evidence map›Paper›PMID 22750536›Full record

ArticleJournal of biomedical informatics2012

Cross-terminology mapping challenges: a demonstration using medication terminological systems.

Himali Saitwal, David Qing, Stephen Jones, Elmer V Bernstam, Christopher G Chute, Todd R Johnson

Erratum issuedAbstract 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. An erratum has been issued. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Evaluating MedDRA-to-ICD terminology mappings.BMC medical informatics and decision making · 2024
    Article
  10. Automated approach for quality assessment of RDF resources.BMC medical informatics and decision making · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Development of the Gender, Sex, and Sexual Orientation ontology: Evaluation and workflow.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  16. AllergyMap: An Open Source Corpus of Allergy Mention Normalizations.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    Article
  17. Comparative Analysis and Evaluation of State-of-the-Art Medication Mapping Tools to Transform a Local Medication Terminology to RxNorm.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

6 authors.

Himali SaitwalThe University of Texas School of Biomedical Informatics at Houston, 7000 Fannin Suite 600, Houston, TX 77030, USA. hsaitwal@Apelon.com
David Qing
Stephen Jones
Elmer V Bernstam
Christopher G Chute
Todd R Johnson

Funding

Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
U OF TEXAS HLTH SCI CTR HOUSTON CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCESUL1RR024148 · NCRR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2006 to 2010
$27.9M
TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
Kentucky Center for Clinical and Translational ScienceUL1TR000117 · NCATS · UNIVERSITY OF KENTUCKY · PI KERN, PHILIP A · 2012 to 2015
$13.3M
UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
KENTUCKY CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCEUL1RR033173 · NCRR · UNIVERSITY OF KENTUCKY · PI KERN, PHILIP A · 2011 to 2011
$3.5M
NCATS NIH HHS UL1 TR000002NCATS NIH HHS UL1 TR000117NCATS NIH HHS UL1 TR001998NCRR NIH HHS 3UL1RR024148NCRR NIH HHS UL1 RR024148NCRR NIH HHS UL1 RR033173NCRR NIH HHS UL1RR033173NLM NIH HHS 5T15LM007093NLM NIH HHS T15 LM007093PHS HHS UL1TR000117
6 · The paper itself

Abstract

Standardized terminological systems for biomedical information have provided considerable benefits to biomedical applications and research. However, practical use of this information often requires mapping across terminological systems-a complex and time-consuming process. This paper demonstrates the complexity and challenges of mapping across terminological systems in the context of medication information. It provides a review of medication terminological systems and their linkages, then describes a case study in which we mapped proprietary medication codes from an electronic health record to SNOMED CT and the UMLS Metathesaurus. The goal was to create a polyhierarchical classification system for querying an i2b2 clinical data warehouse. We found that three methods were required to accurately map the majority of actively prescribed medications. Only 62.5% of source medication codes could be mapped automatically. The remaining codes were mapped using a combination of semi-automated string comparison with expert selection, and a completely manual approach. Compound drugs were especially difficult to map: only 7.5% could be mapped using the automatic method. General challenges to mapping across terminological systems include (1) the availability of up-to-date information to assess the suitability of a given terminological system for a particular use case, and to assess the quality and completeness of cross-terminology links; (2) the difficulty of correctly using complex, rapidly evolving, modern terminologies; (3) the time and effort required to complete and evaluate the mapping; (4) the need to address differences in granularity between the source and target terminologies; and (5) the need to continuously update the mapping as terminological systems evolve.

Indexed as

Electronic Health RecordsVocabulary, ControlledClinical CodingHumansMedical InformaticsPharmaceutical PreparationsReproducibility of ResultsPharmaceutical Preparations

Identifiers

PMID22750536
PMCPMC4398308

What OpenQuestion holds

Textmetadata
LicenceTDM
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.