Cross-terminology mapping challenges: a demonstration using medication terminological systems.
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 th...
| Published in: | Journal of Biomedical Informatics Vol. 45; no. 4; pp. 613 - 626 |
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| Main Authors: | , , , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Academic Press Inc.
Aug2012
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104361794&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104361794 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15320464 OMB jtl: Journal of Biomedical Informatics issn: 15320464 maglogo: N pubinfo: dt: Aug2012 vid: 45 iid: 4 pid: 735 pub: Academic Press Inc. place: Burlington, Massachusetts artinfo: ui: 104361794 NLM22750536 2011651968 10.1016/j.jbi.2012.08.005 NLM22750536 PMC4398308 104361794 ppf: 613 ppct: 13 formats: tig: atl: Cross-terminology mapping challenges: a demonstration using medication terminological systems. aug: au: Saitwal H Qing D Jones S Bernstam EV Chute CG Johnson TR Saitwal, Himali Qing, David Jones, Stephen Bernstam, Elmer V Chute, Christopher G Johnson, Todd R affil: The University of Texas School of Biomedical Informatics at Houston, 7000 Fannin Suite 600, Houston, TX 77030, USA sug: subj: Electronic Health Records Medical Informatics Methods Medical Informatics Standards Drugs Classification Vocabulary, Controlled Coding Human Reproducibility of Results ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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