Journal of the American Medical Informatics Association : JAMIA
We developed a novel computer application called Glyph that automatically converts text to sets o... more We developed a novel computer application called Glyph that automatically converts text to sets of illustrations using natural language processing and computer graphics techniques to provide high quality pictographs for health communication. In this study, we evaluated the ability of the Glyph system to illustrate a set of actual patient instructions, and tested patient recall of the original and Glyph illustrated instructions. We used Glyph to illustrate 49 patient instructions representing 10 different discharge templates from the University of Utah Cardiology Service. 84 participants were recruited through convenience sampling. To test the recall of illustrated versus non-illustrated instructions, participants were asked to review and then recall a set questionnaires that contained five pictograph-enhanced and five non-pictograph-enhanced items. The mean score without pictographs was 0.47 (SD 0.23), or 47% recall. With pictographs, this mean score increased to 0.52 (SD 0.22), or ...
Journal of the American Medical Informatics Association : JAMIA
We developed a novel computer application called Glyph that automatically converts text to sets o... more We developed a novel computer application called Glyph that automatically converts text to sets of illustrations using natural language processing and computer graphics techniques to provide high quality pictographs for health communication. In this study, we evaluated the ability of the Glyph system to illustrate a set of actual patient instructions, and tested patient recall of the original and Glyph illustrated instructions. We used Glyph to illustrate 49 patient instructions representing 10 different discharge templates from the University of Utah Cardiology Service. 84 participants were recruited through convenience sampling. To test the recall of illustrated versus non-illustrated instructions, participants were asked to review and then recall a set questionnaires that contained five pictograph-enhanced and five non-pictograph-enhanced items. The mean score without pictographs was 0.47 (SD 0.23), or 47% recall. With pictographs, this mean score increased to 0.52 (SD 0.22), or ...
Integrative medicine including complementary and alternative medicine (CAM) has become more avail... more Integrative medicine including complementary and alternative medicine (CAM) has become more available through mainstream health providers. Acupuncture is one of the most widely used CAM therapies, though its efficacy for treating various conditions requires further investigation. To assist with such investigations, we set out to identify acupuncture patient cohorts using a nationwide clinical data repository. Acupuncture patients were identified using both structured data and unstructured free text notes: 44,960 acupuncture patients were identified using structured data consisting of CPT codes;. Using unstructured free text clinical notes, we trained a support vector classifier with 86% accuracy and was able to identify an additional 101,628 acupuncture patients not identified through structured data (a 226% increase). In addition, characteristics of the patients identified through structured and unstructured data were compared, which show differences in geographic locations and med...
Journal of the American Medical Informatics Association : JAMIA
We developed a novel computer application called Glyph that automatically converts text to sets o... more We developed a novel computer application called Glyph that automatically converts text to sets of illustrations using natural language processing and computer graphics techniques to provide high quality pictographs for health communication. In this study, we evaluated the ability of the Glyph system to illustrate a set of actual patient instructions, and tested patient recall of the original and Glyph illustrated instructions. We used Glyph to illustrate 49 patient instructions representing 10 different discharge templates from the University of Utah Cardiology Service. 84 participants were recruited through convenience sampling. To test the recall of illustrated versus non-illustrated instructions, participants were asked to review and then recall a set questionnaires that contained five pictograph-enhanced and five non-pictograph-enhanced items. The mean score without pictographs was 0.47 (SD 0.23), or 47% recall. With pictographs, this mean score increased to 0.52 (SD 0.22), or ...
Journal of the American Medical Informatics Association : JAMIA
We developed a novel computer application called Glyph that automatically converts text to sets o... more We developed a novel computer application called Glyph that automatically converts text to sets of illustrations using natural language processing and computer graphics techniques to provide high quality pictographs for health communication. In this study, we evaluated the ability of the Glyph system to illustrate a set of actual patient instructions, and tested patient recall of the original and Glyph illustrated instructions. We used Glyph to illustrate 49 patient instructions representing 10 different discharge templates from the University of Utah Cardiology Service. 84 participants were recruited through convenience sampling. To test the recall of illustrated versus non-illustrated instructions, participants were asked to review and then recall a set questionnaires that contained five pictograph-enhanced and five non-pictograph-enhanced items. The mean score without pictographs was 0.47 (SD 0.23), or 47% recall. With pictographs, this mean score increased to 0.52 (SD 0.22), or ...
Integrative medicine including complementary and alternative medicine (CAM) has become more avail... more Integrative medicine including complementary and alternative medicine (CAM) has become more available through mainstream health providers. Acupuncture is one of the most widely used CAM therapies, though its efficacy for treating various conditions requires further investigation. To assist with such investigations, we set out to identify acupuncture patient cohorts using a nationwide clinical data repository. Acupuncture patients were identified using both structured data and unstructured free text notes: 44,960 acupuncture patients were identified using structured data consisting of CPT codes;. Using unstructured free text clinical notes, we trained a support vector classifier with 86% accuracy and was able to identify an additional 101,628 acupuncture patients not identified through structured data (a 226% increase). In addition, characteristics of the patients identified through structured and unstructured data were compared, which show differences in geographic locations and med...
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Papers by Jinqiu Kuang