title: Natural language generation in health care.
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.
authors.affiliation: Department of Computing and Electrical Engineering, Heriot-Watt University, Edinburgh, Scotland. alison@cee.hw.ac.uk
authors.forename: A J
authors.initials: AJ
authors.lastname: Cawsey
authors.forename: B L
authors.initials: BL
authors.lastname: Webber
authors.forename: R B
authors.initials: RB
authors.lastname: Jones
mesh_terms: D005103:Expert Systems; D005568:Forms and Records Control; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D010353:Patient Education as Topic; D018875:Vocabulary, Controlled