Literature DB >> 10833167

Clinical classification and terminology: some history and current observations.

C G Chute1.   

Abstract

The evolution of health terminology has undergone glacial transition over time, although this pace has quickened recently. After a long history of near neglect, unimaginative structure, and factitious development, health terminologies are in an era of unprecedented importance, sophistication, and collaboration. The major highlights of this history are reviewed, together with important intellectual advances in health terminology development. The inescapable conclusion is that we are amidst a major revolution in the role and capabilities of health terminologies, entering an age of large-scale systems for health concept representation with international implications.

Mesh:

Year:  2000        PMID: 10833167      PMCID: PMC61433          DOI: 10.1136/jamia.2000.0070298

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


  10 in total

1.  Desiderata for a clinical terminology server.

Authors:  C G Chute; P L Elkin; D D Sherertz; M S Tuttle
Journal:  Proc AMIA Symp       Date:  1999

2.  Clinical terminology: why is it so hard?

Authors:  A L Rector
Journal:  Methods Inf Med       Date:  1999-12       Impact factor: 2.176

3.  The SNOMED DICOM microglossary: controlled terminology resource for data interchange in biomedical imaging.

Authors:  W D Bidgood
Journal:  Methods Inf Med       Date:  1998-11       Impact factor: 2.176

Review 4.  The Copernican era of healthcare terminology: a re-centering of health information systems.

Authors:  C G Chute
Journal:  Proc AMIA Symp       Date:  1998

5.  Concept-oriented standardization and statistics-oriented classification: continuing the classification versus nomenclature controversy.

Authors:  J Ingenerf; W Giere
Journal:  Methods Inf Med       Date:  1998-11       Impact factor: 2.176

6.  Development of the Logical Observation Identifier Names and Codes (LOINC) vocabulary.

Authors:  S M Huff; R A Rocha; C J McDonald; G J De Moor; T Fiers; W D Bidgood; A W Forrey; W G Francis; W R Tracy; D Leavelle; F Stalling; B Griffin; P Maloney; D Leland; L Charles; K Hutchins; J Baenziger
Journal:  J Am Med Inform Assoc       Date:  1998 May-Jun       Impact factor: 4.497

7.  Health care fraud and abuse.

Authors:  P E Kalb
Journal:  JAMA       Date:  1999 Sep 22-29       Impact factor: 56.272

8.  Toward a medical-concept representation language. The Canon Group.

Authors:  D A Evans; J J Cimino; W R Hersh; S M Huff; D S Bell
Journal:  J Am Med Inform Assoc       Date:  1994 May-Jun       Impact factor: 4.497

9.  Formal properties of the Metathesaurus.

Authors:  M S Tuttle; N E Olson; K E Campbell; D D Sherertz; S J Nelson; W G Cole
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

10.  A framework for comprehensive health terminology systems in the United States: development guidelines, criteria for selection, and public policy implications. ANSI Healthcare Informatics Standards Board Vocabulary Working Group and the Computer-Based Patient Records Institute Working Group on Codes and Structures.

Authors:  C G Chute; S P Cohn; J R Campbell
Journal:  J Am Med Inform Assoc       Date:  1998 Nov-Dec       Impact factor: 4.497

  10 in total
  36 in total

1.  Representing knowledge: introduction to the Cornerstone I session at the 1999 AMIA Annual Symposium

Authors: 
Journal:  J Am Med Inform Assoc       Date:  2000-05       Impact factor: 4.497

2.  An assessment of cancer clinical trials vocabulary and IT infrastructure in the U.S.

Authors:  K Gwaltney; C Chute; D Hageman; W Kibbe; K McCormick; D Reeves; L Wright
Journal:  Proc AMIA Symp       Date:  2001

3.  A conceptual framework for evaluating outpatient electronic prescribing systems based on their functional capabilities.

Authors:  Douglas S Bell; Shan Cretin; Richard S Marken; Adam B Landman
Journal:  J Am Med Inform Assoc       Date:  2003-10-05       Impact factor: 4.497

4.  Adequacy of representation of the National Drug File Reference Terminology Physiologic Effects reference hierarchy for commonly prescribed medications.

Authors:  S Trent Rosenbloom; Joseph Awad; Ted Speroff; Peter L Elkin; Russell Rothman; Anderson Spickard; Josh Peterson; Brent A Bauer; Dietland L Wahner-Roedler; Mark Lee; William M Gregg; Kevin B Johnson; Jim Jirjis; Mark S Erlbaum; John S Carter; Michael J Lincoln; Steven H Brown
Journal:  AMIA Annu Symp Proc       Date:  2003

5.  International classification of diseases, 10th edition, clinical modification and procedure coding system: descriptive overview of the next generation HIPAA code sets.

Authors:  Steven J Steindel
Journal:  J Am Med Inform Assoc       Date:  2010 May-Jun       Impact factor: 4.497

6.  Healthcare fraud and abuse.

Authors:  William J Rudman; John S Eberhardt; William Pierce; Susan Hart-Hester
Journal:  Perspect Health Inf Manag       Date:  2009-09-16

7.  Creation of a master table for checking indication and contraindication of medicine from a knowledge base linked with a thesaurus.

Authors:  Shanmei Ji; Yasushi Matsumura; Shigeki Kuwata; Hirohiko Nakano; Yufeng Chen; Tadamasa Teratani; Qiyan Zhang; Takahiro Mineno; Hiroshi Takeda
Journal:  J Med Syst       Date:  2004-12       Impact factor: 4.460

8.  Development and evaluation of methods for structured recording of heart murmur findings using SNOMED-CT post-coordination.

Authors:  Julie M Green; Jeffrey R Wilcke; Jonathon Abbott; Loren P Rees
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

9.  Tree testing of hierarchical menu structures for health applications.

Authors:  Thai Le; Shomir Chaudhuri; Jane Chung; Hilaire J Thompson; George Demiris
Journal:  J Biomed Inform       Date:  2014-02-26       Impact factor: 6.317

10.  Using SNOMED CT to represent two interface terminologies.

Authors:  S Trent Rosenbloom; Steven H Brown; David Froehling; Brent A Bauer; Dietlind L Wahner-Roedler; William M Gregg; Peter L Elkin
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

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