title: Automated illustration of patients instructions.
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.
authors.affiliation: University Of Utah, Salt Lake City, UT, USA.
authors.forename: Duy
authors.initials: D
authors.lastname: Bui
authors.forename: Carlos
authors.initials: C
authors.lastname: Nakamura
authors.forename: Bruce E
authors.initials: BE
authors.lastname: Bray
authors.forename: Qing
authors.initials: Q
authors.lastname: Zeng-Treitler
mesh_terms: D003142:Communication; D003196:Computer Graphics; D006801:Humans; D008488:Medical Illustration; D009323:Natural Language Processing; D010353:Patient Education as Topic / Q000379:methods*; D012984:Software