help button home button JAMIA Hate scrolling?
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

First published April 24, 2008 as JAMIA PrePrint; doi:10.1197/jamia.M2599
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
M2599v1
15/4/496    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Google Scholar
Right arrow Articles by Keselman, A.
Right arrow Articles by Zeng-Treitler, Q.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Keselman, A.
Right arrow Articles by Zeng-Treitler, Q.
J Am Med Inform Assoc. 2008;15:496-505. DOI 10.1197/jamia.M2599.
© 2008 American Medical Informatics Association


Research Paper

Consumer Health Concepts That Do Not Map to the UMLS: Where Do They Fit?

Alla Keselman, PhD, MAa,b,*, Catherine Arnott Smith, PhDc, Guy Divita, MSa,d, Hyeoneui Kim, PhDe, Allen C. Browne, MAa, Gondy Leroy, PhDf and Qing Zeng-Treitler, PhDe

a Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD
b Aquilent, Inc., Laurel, MD
c School of Library and Information Studies, University of Wisconsin, Madison, WI
d Lockheed Martin, Inc., Bethesda, MD
e Decision Systems Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
f School of Information Systems and Technology, Claremont Graduate University, Claremont, CA.

* Correspondence: Alla Keselman, PhD, MA, 7S713E, LHNCBC, National Library of Medicine, NIH, 8600 Rockville Pike, Bethesda, MD (Email: keselmana{at}mail.nih.gov).

Received for publication: 08/20/07; accepted for publication: 02/08/08.

Objective: This study has two objectives: first, to identify and characterize consumer health terms not found in the Unified Medical Language System (UMLS) Metathesaurus (2007 AB); second, to describe the procedure for creating new concepts in the process of building a consumer health vocabulary. How do the unmapped consumer health concepts relate to the existing UMLS concepts? What is the place of these new concepts in professional medical discourse?

Design: The consumer health terms were extracted from two large corpora derived in the process of Open Access Collaboratory Consumer Health Vocabulary (OAC CHV) building. Terms that could not be mapped to existing UMLS concepts via machine and manual methods prompted creation of new concepts, which were then ascribed semantic types, related to existing UMLS concepts, and coded according to specified criteria.

Results: This approach identified 64 unmapped concepts, 17 of which were labeled as uniquely "lay" and not feasible for inclusion in professional health terminologies. The remaining terms constituted potential candidates for inclusion in professional vocabularies, or could be constructed by post-coordinating existing UMLS terms. The relationship between new and existing concepts differed depending on the corpora from which they were extracted.

Conclusion: Non-mapping concepts constitute a small proportion of consumer health terms, but a proportion that is likely to affect the process of consumer health vocabulary building. We have identified a novel approach for identifying such concepts.







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2008 by the American Medical Informatics Association.