Natural Language Generation in Health Care

Alison J. Cawsey, Bonnie L. Webber, Ray B. Jones

Research output: Contribution to journalArticle

30 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)473-482
Number of pages10
JournalJournal of the American Medical Informatics Association
Volume4
Issue number6
Publication statusPublished - Nov 1997

Fingerprint Dive into the research topics of 'Natural Language Generation in Health Care'. Together they form a unique fingerprint.

  • Cite this

    Cawsey, A. J., Webber, B. L., & Jones, R. B. (1997). Natural Language Generation in Health Care. Journal of the American Medical Informatics Association, 4(6), 473-482.