Guideline for health informatics: Controlled health vocabularies - Vocabulary structure and high-level indicators

Peter L. Elkin, Steven H. Brown, Christopher G. Chute

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Developers and purchasers of controlled health terminologies require valid mechanisms for comparing terminological systems. By Controlled Health Vocabularies we refer to terminologies and terminological systems designed to represent clinical data at a granularity consistent with the practice of today's healthcare delivery. Comprehensive criterion for the evaluation of such systems are lacking and the known criteria are inconsistently applied. Although there are many papers, which describe specific desirable features of a controlled health vocabulary, to date there is not a consistent guide for evaluators of terminologies to reference, which will help them compare implementations of terminological systems on an equal footing1,2 This guideline serves to fill the gap between academic enumeration of desirable terminological characteristics and the practical implementation or rigorous evaluations which will yield comparable data regarding the quality of one or more controlled health vocabularies.

Original languageEnglish (US)
Title of host publicationMEDINFO 2001 - Proceedings of the 10th World Congress on Medical Informatics
PublisherIOS Press
Pages191-195
Number of pages5
ISBN (Print)1586031945, 9781586031947
DOIs
StatePublished - Jan 1 2001
Externally publishedYes
Event10th World Congress on Medical Informatics, MEDINFO 2001 - London, United Kingdom
Duration: Sep 2 2005Sep 5 2005

Publication series

NameStudies in Health Technology and Informatics
Volume84
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other10th World Congress on Medical Informatics, MEDINFO 2001
Country/TerritoryUnited Kingdom
CityLondon
Period9/2/059/5/05

Keywords

  • Controlled Health Vocabularies
  • Quality
  • Standards
  • Terminology

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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