A Design to Reduce Patients’ Cognitive Load for Cancer Risk Calculator

Siddharth, Binay; Trevena, Lyndal; Liu, Na

doi:10.1007/978-3-319-67964-8_4

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10347))

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International Conference on Smart Health

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Abstract

Cancer was reported to be the chief killer in Australia by overtaking heart disease. Early detection of cancer aids in effective treatment. This poster paper proposes the design and implementation of an integrated cancer risk calculation tool to address the problem of diversified and unstandardized calculators for different types of cancer. Guided by cognitive load theory, the paper also proposes design features to reduce patients’ cognitive load.

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References

Vickery, K.: More Australians dying from cancer than heart diseases, new report from Australian Institute of Health and Welfare shows (2016). http://www.news.com.au/lifestyle/health/health-problems/more-australians-dying-from-cancer-than-heart-diseases-new-report-from-australian-institute-of-health-and-welfare-shows/news-story/cae4d17b17f2647e68fc570b1d8465aa. Accessed 12 Mar 2017
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Authors and Affiliations

School of Information Technologies, Faculty of Engineering and IT, The University of Sydney, Sydney, Australia
Binay Siddharth & Na Liu
School of Public Health, The University of Sydney, Sydney, Australia
Lyndal Trevena

Authors

Binay Siddharth
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Lyndal Trevena
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Na Liu
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Correspondence to Na Liu .

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Editors and Affiliations

University of Arizona, Tucson, Arizona, USA
Hsinchun Chen
University of Arizona, Tucson, Arizona, USA
Daniel Dajun Zeng
Department of Management Information System, University of Georgia, Athens, Georgia, USA
Elena Karahanna
University of Texas, Richardson, Texas, USA
Indranil Bardhan

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Siddharth, B., Trevena, L., Liu, N. (2017). A Design to Reduce Patients’ Cognitive Load for Cancer Risk Calculator. In: Chen, H., Zeng, D., Karahanna, E., Bardhan, I. (eds) Smart Health. ICSH 2017. Lecture Notes in Computer Science(), vol 10347. Springer, Cham. https://doi.org/10.1007/978-3-319-67964-8_4

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DOI: https://doi.org/10.1007/978-3-319-67964-8_4
Published: 28 October 2017
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-67963-1
Online ISBN: 978-3-319-67964-8
eBook Packages: Computer ScienceComputer Science (R0)

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