Work

Automated illustration of patients instructions.

Year: 2012

Type: article

Abstract: A picture can be a powerful communication tool. However, creating pictures to illustrate patient instructions can be a costly and time-consuming task. Building on our prior research in this area, we developed a computer application that automatically converts text to pictures using natural language processing and computer graphics techniques. After iterative testing, the automated illustration system was evaluated using 49 previously unseen cardiology discharge instructions. The completeness of the system-generated illustrations was assessed by three raters using a three-level scale. The average inter-rater agreement for text correctly represented in the pictograph was about 66 percent. Since illustration in this context is intended to enhance rather than replace text, these results support the feasibility of conducting automated illustration.

Source: PubMed Central

Authors: Duy Bui, Carlos Nakamura, Bruce E Bray, Qing Zeng-Treitler

Institution: University of Utah

Language: English

Topic: Health Literacy and Information Accessibility

Subfield: General Health Professions

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institutes of Health

Award: Vocabulary Support for Consumer Health Informatics