Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/160153
Title: Habit and automaticity in medical alert override: cohort study
Authors: Wang, Le
Goh, Kim Huat
Yeow, Adrian
Poh, Hermione
Li, Ke
Yeow, Joannas Jie Lin
Tan, Gamaliel
Soh, Christina
Keywords: Social sciences::General
Issue Date: 2022
Source: Wang, L., Goh, K. H., Yeow, A., Poh, H., Li, K., Yeow, J. J. L., Tan, G. & Soh, C. (2022). Habit and automaticity in medical alert override: cohort study. Journal of Medical Internet Research, 24(2), e23355-. https://dx.doi.org/10.2196/23355
Journal: Journal of Medical Internet Research
Abstract: Prior literature suggests that alert dismissal could be linked to physicians' habits and automaticity. The evidence for this perspective has been mainly observational data. This study uses log data from an electronic medical records system to empirically validate this perspective.
URI: https://hdl.handle.net/10356/160153
ISSN: 1438-8871
DOI: 10.2196/23355
Schools: Nanyang Business School 
Rights: © 2022 Le Wang, Kim Huat Goh, Adrian Yeow, Hermione Poh, Ke Li, Joannas Jie Lin Yeow, Gamaliel Tan, Christina Soh. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 16.02.2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:NBS Journal Articles

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