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

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abstract: The creation of controlled medical terminologies is a central challenge in thedevelopment of electronic patient records. In the T-Helper patient-recordsystem, which has been designed for the care of patients with HIV infection, amodule known as IVORY allows health-care workers to compose textual progressnotes by making selections from menus that the system generates automaticallyfrom a controlled medical terminology. Construction of the IVORY vocabulary hasrequired extensive design sessions with a team of computer scientists and anexpert physician. Refinement of the vocabulary was possible only when thedesign team could envision how the completed T-Helper system would be used inthe context of clinical practice. Development of controlled medicalterminologies is a problem in knowledge acquisition. Techniques used to acquireand represent clinical concepts for the purpose of building decision-supportsystems also are appropriate for the construction of controlled vocabulariessuch as the one in T-Helper.

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AbstractThe creation of controlled medical termino The creation of controlled medical terminologies is a central challenge in thedevelopment of electronic patient records. In the T-Helper patient-recordsystem, which has been designed for the care of patients with HIV infection, amodule known as IVORY allows health-care workers to compose textual progressnotes by making selections from menus that the system generates automaticallyfrom a controlled medical terminology. Construction of the IVORY vocabulary hasrequired extensive design sessions with a team of computer scientists and anexpert physician. Refinement of the vocabulary was possible only when thedesign team could envision how the completed T-Helper system would be used inthe context of clinical practice. Development of controlled medicalterminologies is a problem in knowledge acquisition. Techniques used to acquireand represent clinical concepts for the purpose of building decision-supportsystems also are appropriate for the construction of controlled vocabulariessuch as the one in T-Helper. d vocabulariessuch as the one in T-Helper.
AuthorMark A. Musen  +, Karen E. Wieckert  +, Elizabeth T. Miller  +, Keith E. Campbell  +, and Lawrence M. Fagan  +
Bibtypetechreport  +
InstitutionKnowledge Systems, AI Laboratory  +
KeyKSL-94-26  +
MonthApril  +
NoteAlso appears in Proceedings of the IMIA Working Group 6 Conference on Natural Language Processing Updated April 1995.  +
NumberKSL-94-26  +
TagComputer science  +
TitleDevelopment of a Controlled Medical Terminology: Knowledge Acquisition and Knowledge Representation  +
Tr idKSL-94-26  +
Year1994  +
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