Triage errors in primary and pre–primary care
File(s)
Published version
Author(s)
Nguyen, Hai
Meczner, Andras
Burslam-Dawe, Krista
Hayhoe, Benedict
Type
Journal Article
Abstract
Triage errors are a major concern in health care due to resulting harmful delays in treatments or inappropriate allocation of resources. With the increasing popularity of digital symptom checkers in pre–primary care settings, and amid claims that artificial intelligence outperforms doctors, the accuracy of triage by digital symptom checkers is ever more scrutinized. This paper examines the context and challenges of triage in primary care, pre–primary care, and emergency care, as well as reviews existing evidence on the prevalence of triage errors in all three settings. Implications for development, research, and practice are highlighted, and recommendations are made on how digital symptom checkers should be best positioned.
Date Issued
2022-06-24
Date Acceptance
2022-04-04
Citation
Journal of Medical Internet Research, 2022, 24 (6), pp.1-7
ISSN
1438-8871
Publisher
JMIR Publications
Start Page
1
End Page
7
Journal / Book Title
Journal of Medical Internet Research
Volume
24
Issue
6
Copyright Statement
©Hai Nguyen, Andras Meczner, Krista Burslam-Dawe, Benedict Hayhoe. Originally published in the Journal of Medical Internet
Research (https://www.jmir.org), 24.06.2022. 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.
Research (https://www.jmir.org), 24.06.2022. 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.
License URL
Identifier
https://www.jmir.org/2022/6/e37209/
Publication Status
Published
Date Publish Online
2022-06-24