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PMID: 9391935 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S. Review

Natural language generation in health care.

Journal of the American Medical Informatics Association : JAMIA ·Vol. 4 ·No. 6 ·1997-00-00 ·Pages 473-82

Cawsey AJ, Webber BL, Jones RB

Abstract

Good communication is vital in health care, both among health care professionals, and between health care professionals and their patients. And well-written documents, describing and/or explaining the information in structured databases may be easier to comprehend, more edifying, and even more convincing than the structured data, even when presented in tabular or graphic form. Documents may be automatically generated from structured data, using techniques from the field of natural language generation. These techniques are concerned with how the content, organization and language used in a document can be dynamically selected, depending on the audience and context. They have been used to generate health education materials, explanations and critiques in decision support systems, and medical reports and progress notes.

MeSH Terms
Expert Systems Forms and Records Control Medical Records Systems, Computerized Natural Language Processing Patient Education as Topic Vocabulary, Controlled
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Cawsey A J
Department of Computing and Electrical Engineering, Heriot-Watt University, Edinburgh, Scotland. [email protected]
Webber B L
Jones R B
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Article Info
Journal
Journal of the American Medical Informatics Association : JAMIA
Abbr.
J Am Med Inform Assoc
ISSN
1067-5027
Published
1997-00-00
Pages
473-82
Language
English
Region
England
NLM ID
9430800
PMCID
PMC61265
Subset
IM
Grants
NLM NIH HHS · R01 LM05764-01 · United States
NLM NIH HHS · R01 LM06325 · United States
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