Literature DB >> 11604731

Guideline for health informatics: controlled health vocabularies--vocabulary structure and high-level indicators.

P L Elkin1, S H Brown, C G Chute.   

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 footing 1,2 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.

Mesh:

Year:  2001        PMID: 11604731

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


  5 in total

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Authors:  Steven H Brown; Brent A Bauer; Dietland L Wahner-Roedler; Peter L Elkin
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  HTP-NLP: A New NLP System for High Throughput Phenotyping.

Authors:  Daniel R Schlegel; Chris Crowner; Frank Lehoullier; Peter L Elkin
Journal:  Stud Health Technol Inform       Date:  2017

3.  The caBIG terminology review process.

Authors:  James J Cimino; Terry F Hayamizu; Olivier Bodenreider; Brian Davis; Grace A Stafford; Martin Ringwald
Journal:  J Biomed Inform       Date:  2008-12-25       Impact factor: 6.317

4.  Biomedical Informatics Investigator.

Authors:  Peter L Elkin; Sarah Mullin; Sylvester Sakilay
Journal:  Stud Health Technol Inform       Date:  2018

5.  Disease diagnostic coding to facilitate evidence-based medicine: current and future perspectives.

Authors:  Rachel J Derscheid; Michael C Rahe; Eric R Burrough; Kent J Schwartz; Bailey Arruda
Journal:  J Vet Diagn Invest       Date:  2021-03-10       Impact factor: 1.279

  5 in total

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