Literature DB >> 20962136

Comparing and evaluating terminology services application programming interfaces: RxNav, UMLSKS and LexBIG.

Jyotishman Pathak1, Lee Peters, Christopher G Chute, Olivier Bodenreider.   

Abstract

To facilitate the integration of terminologies into applications, various terminology services application programming interfaces (API) have been developed in the recent past. In this study, three publicly available terminology services API, RxNav, UMLSKS and LexBIG, are compared and functionally evaluated with respect to the retrieval of information from one biomedical terminology, RxNorm, to which all three services provide access. A list of queries is established covering a wide spectrum of terminology services functionalities such as finding RxNorm concepts by their name, or navigating different types of relationships. Test data were generated from the RxNorm dataset to evaluate the implementation of the functionalities in the three API. The results revealed issues with various aspects of the API implementation (eg, handling of obsolete terms by LexBIG) and documentation (eg, navigational paths used in RxNav) that were subsequently addressed by the development teams of the three API investigated. Knowledge about such discrepancies helps inform the choice of an API for a given use case.

Mesh:

Substances:

Year:  2010        PMID: 20962136      PMCID: PMC3000749          DOI: 10.1136/jamia.2009.001149

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


  8 in total

1.  The Unified Medical Language System (UMLS): integrating biomedical terminology.

Authors:  Olivier Bodenreider
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

2.  Plug-and-play UMLS knowledge source server using web services and portlets.

Authors:  Karen E Thorn; Anantha Bangalore; Allen Browne
Journal:  AMIA Annu Symp Proc       Date:  2006

Review 3.  The practical impact of ontologies on biomedical informatics.

Authors:  J J Cimino; X Zhu
Journal:  Yearb Med Inform       Date:  2006

4.  Biomedical ontologies in action: role in knowledge management, data integration and decision support.

Authors:  O Bodenreider
Journal:  Yearb Med Inform       Date:  2008

5.  LexGrid: a framework for representing, storing, and querying biomedical terminologies from simple to sublime.

Authors:  Jyotishman Pathak; Harold R Solbrig; James D Buntrock; Thomas M Johnson; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

6.  Using the RxNorm web services API for quality assurance purposes.

Authors:  Lee Peters; Olivier Bodenreider
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

7.  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

8.  caCORE version 3: Implementation of a model driven, service-oriented architecture for semantic interoperability.

Authors:  George A Komatsoulis; Denise B Warzel; Francis W Hartel; Krishnakant Shanbhag; Ram Chilukuri; Gilberto Fragoso; Sherri de Coronado; Dianne M Reeves; Jillaine B Hadfield; Christophe Ludet; Peter A Covitz
Journal:  J Biomed Inform       Date:  2007-04-02       Impact factor: 6.317

  8 in total
  3 in total

1.  ADEpedia: a scalable and standardized knowledge base of Adverse Drug Events using semantic web technology.

Authors:  Guoqian Jiang; Harold R Solbrig; Christopher G Chute
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Using RxNorm for cross-institutional formulary data normalization within a distributed grid-computing environment.

Authors:  Rob Wynden; Nick Anderson; Marco Casale; Prakash Lakshminarayanan; Kent Anderson; Justin Prosser; Larry Errecart; Alice Livshits; Tim Thimman; Mark Weiner
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

3.  Clinical research informatics: a conceptual perspective.

Authors:  Michael G Kahn; Chunhua Weng
Journal:  J Am Med Inform Assoc       Date:  2012-04-20       Impact factor: 4.497

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.