Date

May 2011

Document Type

Dissertation

Degree Name

Ph.D.

Department

Dept. of Medical Informatics and Clinical Epidemiology

Institution

Oregon Health & Science University

Abstract

Clinicians have numerous and diverse information needs, and face a similarly diverse variety of obstacles preventing those needs from being met. Some of these obstacles are technical in nature, while others are organizational or educational. For many of the world’s clinicians, however, one of the most important obstacles is linguistic: the vast majority of internationally-published medical and scientific literature is written in the English language, which means that many potential users of this content are unable to do so without expending the significant additional time and effort required to read a foreign language. Machine translation and cross-language information retrieval may be able to assist non-native-English speaking clinicians who wish to make use of English-language medical literature; however, there is relatively little research about how such technologies might be adapted for use in clinical settings, or how such adaptations might be evaluated. This dissertation describe

Identifier

doi:10.6083/M4PG1PQX

School

School of Medicine

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