Literature DB >> 9082143

Development of a controlled medical terminology: knowledge acquisition and knowledge representation.

M A Musen1, K E Wieckert, E T Miller, K E Campbell, L M Fagan.   

Abstract

The creation of controlled medical terminologies is a central challenge in the development of electronic patient records. In the T-Helper patient-record system, designed for the care of patients with HIV disease, the IVORY module allows health-care workers to compose textual progress notes by making selections from menus generated automatically from a controlled medical terminology. Construction of this IVORY terminology required extensive design sessions with a team of computer scientists and an expert physician. Refinement of the terminology was only possible when the design team could envision how the completed T-Helper system would be used in the context of clinical practice. Development of controlled medical terminologies is a significant problem in knowledge acquisition. Techniques used to acquire and represent clinical concepts for the purpose of building decision-support systems also are appropriate for the construction of controlled terminologies such as the one in T-Helper.

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Mesh:

Year:  1995        PMID: 9082143

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  7 in total

1.  Continuous speech recognition for clinicians.

Authors:  A Zafar; J M Overhage; C J McDonald
Journal:  J Am Med Inform Assoc       Date:  1999 May-Jun       Impact factor: 4.497

2.  EON: a component-based approach to automation of protocol-directed therapy.

Authors:  M A Musen; S W Tu; A K Das; Y Shahar
Journal:  J Am Med Inform Assoc       Date:  1996 Nov-Dec       Impact factor: 4.497

Review 3.  Interface terminologies: facilitating direct entry of clinical data into electronic health record systems.

Authors:  S Trent Rosenbloom; Randolph A Miller; Kevin B Johnson; Peter L Elkin; Steven H Brown
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

Review 4.  Desiderata for controlled medical vocabularies in the twenty-first century.

Authors:  J J Cimino
Journal:  Methods Inf Med       Date:  1998-11       Impact factor: 2.176

5.  A randomized double-blind controlled trial of automated term dissection.

Authors:  P L Elkin; K R Bailey; P V Ogren; B A Bauer; C G Chute
Journal:  Proc AMIA Symp       Date:  1999

6.  A controlled trial of automated classification of negation from clinical notes.

Authors:  Peter L Elkin; Steven H Brown; Brent A Bauer; Casey S Husser; William Carruth; Larry R Bergstrom; Dietlind L Wahner-Roedler
Journal:  BMC Med Inform Decis Mak       Date:  2005-05-05       Impact factor: 2.796

7.  In defense of the Desiderata.

Authors:  James J Cimino
Journal:  J Biomed Inform       Date:  2005-12-09       Impact factor: 6.317

  7 in total

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