Methods Inf Med 1995; 34(01/02): 85-95
DOI: 10.1055/s-0038-1634576
Original article
Schattauer GmbH

Development of a Controlled Medical Terminology: Knowledge Acquisition and Knowledge Representation

Authors

  • M. A. Musen

    1   Section on Medical Informatics, Stanford University School of Medicine, Stanford, CA, USA
  • K. E. Wieckert

    1   Section on Medical Informatics, Stanford University School of Medicine, Stanford, CA, USA
  • E. T. Miller

    1   Section on Medical Informatics, Stanford University School of Medicine, Stanford, CA, USA
  • K. E. Campbell

    1   Section on Medical Informatics, Stanford University School of Medicine, Stanford, CA, USA
  • L. M. Fagan

    1   Section on Medical Informatics, Stanford University School of Medicine, Stanford, CA, USA

This work has been supported in part by grant HS06330 from the United States Agency for Healthy Care Policy and Research, by grant IRI-902293 from the National Science Foundation, by grant LM05305 from the National Library of Medicine. and by a gift from the Computer-Based Assessment Project of the American Board of Family Practice.
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Publikationsdatum:
09. Februar 2018 (online)

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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 diease, 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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