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
Article Authors Cited by Tweetations Metrics

Constance Boissin   1, 2 , PhD ;   Lisa Blom   2 , PhD ;   Zara Taha   2 , MSc ;   Lee Wallis   3 , MBChB, MD ;   Nikki Allorto   4 , MBChB, Mmed, FCS ;   Lucie Laflamme   2, 5 , PhD

1 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden

2 Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden

3 Division of Emergency Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa

4 Pietermaritzburg Burn Service, University of Kwa-Zulu Natal, Durban, South Africa

5 Institute for Social and Health Sciences, University of South Africa, Pretoria, South Africa

Corresponding Author:

  • Constance Boissin, PhD
  • Department of Global Public Health
  • Karolinska Institutet
  • Tomtebodavagen 18A, Widerstromska Huset
  • Stockholm 17177
  • Sweden
  • Phone: 46 852480000
  • Email: constance.boissin@ki.se