Intention to Use Automated Diagnosis and Clinical Risk Perceptions Among First Contact Clinicians in Resource-Poor Settings: Questionnaire-Based Study Focusing on Acute Burns
Abstract BackgroundBurn automated diagnosis may be instrumental for accurate and timely decision-making at point-of-care, helping to ensure that the right patients are triaged to burns centers. This is particularly important in resource-poor settings. ObjectiveWe s...
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| Main Authors: | Constance Boissin, Lisa Blom, Zara Taha, Lee Wallis, Nikki Allorto, Lucie Laflamme |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-06-01
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| Series: | JMIR Human Factors |
| Online Access: | https://humanfactors.jmir.org/2025/1/e56300 |
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