This paper is in the following e-collection/theme issue:

Tools and Questionnaires in Human Factors Evaluation (75) Design and Usability of Clinical Software and EHRs (348) mHealth for Diagnosis (81) Decision Support for Health Professionals (1539) Computer-Aided Diagnosis (251) Health Services in Resource-Poor Settings and LMICs (542) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (717)

Published on in Vol 12 (2025)

This is a member publication of Bibsam Consortium

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56300, first published .
Intention to Use Automated Diagnosis and Clinical Risk Perceptions Among First Contact Clinicians in Resource-Poor Settings: Questionnaire-Based Study Focusing on Acute Burns

Intention to Use Automated Diagnosis and Clinical Risk Perceptions Among First Contact Clinicians in Resource-Poor Settings: Questionnaire-Based Study Focusing on Acute Burns

Intention to Use Automated Diagnosis and Clinical Risk Perceptions Among First Contact Clinicians in Resource-Poor Settings: Questionnaire-Based Study Focusing on Acute Burns

Authors of this article:

Constance Boissin1, 2 Author Orcid Image ;   Lisa Blom2 Author Orcid Image ;   Zara Taha2 Author Orcid Image ;   Lee Wallis3 Author Orcid Image ;   Nikki Allorto4 Author Orcid Image ;   Lucie Laflamme2, 5 Author Orcid Image
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