Literature DB >> 15360841

U.S. Department of Veterans Affairs Enterprise Reference Terminology strategic overview.

Michael J Lincoln1, Steven H Brown, Viet Nguyen, Tim Cromwell, John Carter, Mark Erlbaum, Mark Tuttle.   

Abstract

The Veterans Health Affairs (VHA) branch of the Department of Veterans Affairs has undertaken an Enterprise Reference Terminology (ERT). VHA, arguably the largest integrated healthcare provider in the United States, has completely computerized virtually all clinical transactions, including physician orders and documentation. The VA is now integrating its clinical records across hundreds of sites of care by means of a Health Data Repository (HDR) project. ERT has been designed to provide a terminology development environment, terminology services, and maintenance services for the clinical and business content in HDR and other VHA applications. Drug, laboratory observations, and clinical document title files have been developed, and the ERT will encompass all HDR domains by 2008. Commercial tools are used to host the VHA's ERT terminology development and server environments. We will select and adopt both open-source and licensable terminology systems to provide ERT content, as well as reuse existing VA-specific terminology content.

Mesh:

Year:  2004        PMID: 15360841

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  12 in total

1.  Concept dictionary creation and maintenance under resource constraints: lessons from the AMPATH Medical Record System.

Authors:  Martin C Were; Burke W Mamlin; William M Tierney; Ben Wolfe; Paul G Biondich
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

2.  Normalized names for clinical drugs: RxNorm at 6 years.

Authors:  Stuart J Nelson; Kelly Zeng; John Kilbourne; Tammy Powell; Robin Moore
Journal:  J Am Med Inform Assoc       Date:  2011-04-21       Impact factor: 4.497

3.  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

4.  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

5.  Auto-Generated Physiological Chain Data for an Ontological Framework for Pharmacology and Mechanism of Action to Determine Suspected Drugs in Cases of Dysuria.

Authors:  Masayo Hayakawa; Takeshi Imai; Yoshimasa Kawazoe; Kouji Kozaki; Kazuhiko Ohe
Journal:  Drug Saf       Date:  2019-09       Impact factor: 5.606

Review 6.  Abstraction networks for terminologies: Supporting management of "big knowledge".

Authors:  Michael Halper; Huanying Gu; Yehoshua Perl; Christopher Ochs
Journal:  Artif Intell Med       Date:  2015-04-02       Impact factor: 5.326

7.  Clinical Clarity versus Terminological Order - The Readiness of SNOMED CT Concept Descriptors for Primary Care.

Authors:  Zhe He; Michael Halper; Yehoshua Perl; Gai Elhanan
Journal:  MIXHS 12 (2012)       Date:  2012 Oct-Nov

8.  Abstraction of complex concepts with a refined partial-area taxonomy of SNOMED.

Authors:  Yue Wang; Michael Halper; Duo Wei; Yehoshua Perl; James Geller
Journal:  J Biomed Inform       Date:  2011-08-25       Impact factor: 6.317

Review 9.  Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.

Authors:  Yue Wang; Michael Halper; Duo Wei; Huanying Gu; Yehoshua Perl; Junchuan Xu; Gai Elhanan; Yan Chen; Kent A Spackman; James T Case; George Hripcsak
Journal:  J Biomed Inform       Date:  2011-09-01       Impact factor: 6.317

10.  Exploring pharmacoepidemiologic groupings of drugs from a clinical perspective.

Authors:  Rainer Winnenburg; Olivier Bodenreider
Journal:  Stud Health Technol Inform       Date:  2013
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