Automated pictographic illustration of discharge instructions with Glyph: impact on patient recall and satisfaction
Author(s) -
Brent Hill,
Seneca Perri-Moore,
Jinqiu Kuang,
Bruce E. Bray,
Long Ngo,
Alexa K. Doig,
Qing ZengTreitler
Publication year - 2016
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocw019
Subject(s) - glyph (data visualization) , recall , computer science , artificial intelligence , natural language processing , psychology , visualization , cognitive psychology
First, to evaluate the effect of standard vs pictograph-enhanced discharge instructions on patients' immediate and delayed recall of and satisfaction with their discharge instructions. Second, to evaluate the effect of automated pictograph enhancement on patient satisfaction with their discharge instructions.
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