Habit and automaticity in medical alert override: cohort study
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.
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/160153 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| id |
sg-ntu-dr.10356-160153 |
|---|---|
| record_format |
dspace |
| spelling |
sg-ntu-dr.10356-1601532023-05-19T07:31:18Z Habit and automaticity in medical alert override: cohort study Wang, Le Goh, Kim Huat Yeow, Adrian Poh, Hermione Li, Ke Yeow, Joannas Jie Lin Tan, Gamaliel Soh, Christina Nanyang Business School Social sciences::General Alert Systems Habits 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. Ministry of Education (MOE) Published version This research received funding from the Social Science Research Council, Ministry of Education, Singapore. 2022-07-13T09:00:22Z 2022-07-13T09:00:22Z 2022 Journal Article 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 1438-8871 https://hdl.handle.net/10356/160153 10.2196/23355 35171102 2-s2.0-85124679722 2 24 e23355 en Journal of Medical Internet Research © 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. application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| language |
English |
| topic |
Social sciences::General Alert Systems Habits |
| spellingShingle |
Social sciences::General Alert Systems Habits Wang, Le Goh, Kim Huat Yeow, Adrian Poh, Hermione Li, Ke Yeow, Joannas Jie Lin Tan, Gamaliel Soh, Christina Habit and automaticity in medical alert override: cohort study |
| description |
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. |
| author2 |
Nanyang Business School |
| author_facet |
Nanyang Business School Wang, Le Goh, Kim Huat Yeow, Adrian Poh, Hermione Li, Ke Yeow, Joannas Jie Lin Tan, Gamaliel Soh, Christina |
| format |
Article |
| author |
Wang, Le Goh, Kim Huat Yeow, Adrian Poh, Hermione Li, Ke Yeow, Joannas Jie Lin Tan, Gamaliel Soh, Christina |
| author_sort |
Wang, Le |
| title |
Habit and automaticity in medical alert override: cohort study |
| title_short |
Habit and automaticity in medical alert override: cohort study |
| title_full |
Habit and automaticity in medical alert override: cohort study |
| title_fullStr |
Habit and automaticity in medical alert override: cohort study |
| title_full_unstemmed |
Habit and automaticity in medical alert override: cohort study |
| title_sort |
habit and automaticity in medical alert override: cohort study |
| publishDate |
2022 |
| url |
https://hdl.handle.net/10356/160153 |
| _version_ |
1772827070132387840 |