Literature DB >> 17213497

Analysis of a study of the users, uses, and future agenda of the UMLS.

Yan Chen1, Yehoshua Perl, James Geller, James J Cimino.   

Abstract

OBJECTIVES: The UMLS constitutes the largest existing collection of medical terms. However, little has been published about the users and uses of the UMLS. This study sheds light on these issues.
DESIGN: We designed a questionnaire consisting of 26 questions and distributed it to the UMLS user mailing list. Participants were assured complete confidentiality of their replies. To further encourage list members to respond, we promised to provide them with early results prior to publication. Sector analysis of the responses, according to employment organizations is used to obtain insights into some responses.
RESULTS: We received 70 responses. The study confirms two intended uses of the UMLS: access to source terminologies (75%), and mapping among them (44%). However, most access is just to a few sources, led by SNOMED, MeSH, and ICD. Out of 119 reported purposes of use, terminology research (37), information retrieval (19), and terminology translation (14) lead. Four important observations are that the UMLS is widely used as a terminology (77%), even though it was not designed as one; many users (73%) want the NLM to mark concepts with multiple parents in an indented hierarchy and to derive a terminology from the UMLS (73%). Finally, auditing the UMLS is a top budget priority (35%) for users.
CONCLUSIONS: The study reports many uses of the UMLS in a variety of subjects from terminology research to decision support and phenotyping. The study confirms that the UMLS is used to access its source terminologies and to map among them. Two primary concerns of the existing user base are auditing the UMLS and the design of a UMLS-based derived terminology.

Entities:  

Mesh:

Year:  2007        PMID: 17213497      PMCID: PMC2213464          DOI: 10.1197/jamia.M2202

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  17 in total

1.  Representing the UMLS as an object-oriented database: modeling issues and advantages.

Authors:  H Gu; Y Perl; J Geller; M Halper; L M Liu; J J Cimino
Journal:  J Am Med Inform Assoc       Date:  2000 Jan-Feb       Impact factor: 4.497

2.  Research on structural issues of the UMLS--past, present, and future.

Authors:  Yehoshua Perl; James Geller
Journal:  J Biomed Inform       Date:  2003-12       Impact factor: 6.317

3.  Consistency across the hierarchies of the UMLS Semantic Network and Metathesaurus.

Authors:  J J Cimino; H Min; Y Perl
Journal:  J Biomed Inform       Date:  2003-12       Impact factor: 6.317

4.  Achieving "source transparency" in the UMLS Metathesaurus.

Authors:  William T Hole; Brian A Carlsen; Mark S Tuttle; Suresh Srinivasan; Stephanie S Lipow; Nels E Olson; David D Sherertz; Betsy L Humphreys
Journal:  Stud Health Technol Inform       Date:  2004

5.  Auditing as part of the terminology design life cycle.

Authors:  Hua Min; Yehoshua Perl; Yan Chen; Michael Halper; James Geller; Yue Wang
Journal:  J Am Med Inform Assoc       Date:  2006-08-23       Impact factor: 4.497

6.  The Unified Medical Language System: an informatics research collaboration.

Authors:  B L Humphreys; D A Lindberg; H M Schoolman; G O Barnett
Journal:  J Am Med Inform Assoc       Date:  1998 Jan-Feb       Impact factor: 4.497

7.  Making the conceptual connections: the Unified Medical Language System (UMLS) after a decade of research and development.

Authors:  A T McCray; R A Miller
Journal:  J Am Med Inform Assoc       Date:  1998 Jan-Feb       Impact factor: 4.497

8.  The representation of meaning in the UMLS.

Authors:  A T McCray; S J Nelson
Journal:  Methods Inf Med       Date:  1995-03       Impact factor: 2.176

9.  The UMLS Metathesaurus: representing different views of biomedical concepts.

Authors:  P L Schuyler; W T Hole; M S Tuttle; D D Sherertz
Journal:  Bull Med Libr Assoc       Date:  1993-04

10.  The Unified Medical Language System.

Authors:  D A Lindberg; B L Humphreys; A T McCray
Journal:  Methods Inf Med       Date:  1993-08       Impact factor: 2.176

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  16 in total

1.  Neophilia Ranking of Scientific Journals.

Authors:  Mikko Packalen; Jay Bhattacharya
Journal:  Scientometrics       Date:  2016-10-22       Impact factor: 3.238

2.  Evaluation of a UMLS Auditing Process of Semantic Type Assignments.

Authors:  Huanying Helen Gu; George Hripcsak; Yan Chen; C Paul Morrey; Gai Elhanan; James Cimino; James Geller; Yehoshua Perl
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

3.  Modeling multi-typed structurally viewed chemicals with the UMLS Refined Semantic Network.

Authors:  Ling Chen; C Paul Morrey; Huanying Gu; Michael Halper; Yehoshua Perl
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

4.  Expanding the extent of a UMLS semantic type via group neighborhood auditing.

Authors:  Yan Chen; Huanying Gu; Yehoshua Perl; Michael Halper; Junchuan Xu
Journal:  J Am Med Inform Assoc       Date:  2009-06-30       Impact factor: 4.497

5.  A Comprehensive Analysis of Five Million UMLS Metathesaurus Terms Using Eighteen Million MEDLINE Citations.

Authors:  Rong Xu; Mark A Musen; Nigam H Shah
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

6.  A Survey of Direct Users and Uses of SNOMED CT: 2010 Status.

Authors:  Gai Elhanan; Yehoshua Perl; James Geller
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

7.  A survey of SNOMED CT direct users, 2010: impressions and preferences regarding content and quality.

Authors:  Gai Elhanan; Yehoshua Perl; James Geller
Journal:  J Am Med Inform Assoc       Date:  2011-08-11       Impact factor: 4.497

8.  Overcoming an obstacle in expanding a UMLS semantic type extent.

Authors:  Yan Chen; Huanying Gu; Yehoshua Perl; James Geller
Journal:  J Biomed Inform       Date:  2011-09-09       Impact factor: 6.317

9.  Structural group-based auditing of missing hierarchical relationships in UMLS.

Authors:  Yan Chen; Huanying Helen Gu; Yehoshua Perl; James Geller
Journal:  J Biomed Inform       Date:  2008-08-20       Impact factor: 6.317

10.  Robust parameter extraction for decision support using multimodal intensive care data.

Authors:  G D Clifford; W J Long; G B Moody; P Szolovits
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-01-28       Impact factor: 4.226

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