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

Formative Evaluation of Digital Health Interventions (2226) mHealth in a Clinical Setting (582) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (792) Decision Support for Health Professionals (1147) E-Health / Health Services Research and New Models of Care (462) Mobile Health (mhealth) (2777)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48946, first published .
Evaluating the Feasibility and Acceptance of a Mobile Clinical Decision Support System in a Resource-Limited Country: Exploratory Study

Evaluating the Feasibility and Acceptance of a Mobile Clinical Decision Support System in a Resource-Limited Country: Exploratory Study

Evaluating the Feasibility and Acceptance of a Mobile Clinical Decision Support System in a Resource-Limited Country: Exploratory Study

Authors of this article:

Kagiso Ndlovu1 Author Orcid Image ;   Nate Stein2 Author Orcid Image ;   Ruth Gaopelo1 Author Orcid Image ;   Michael Annechino3 Author Orcid Image ;   Mmoloki C Molwantwa4 Author Orcid Image ;   Mosadikhumo Monkge5 Author Orcid Image ;   Amy Forrestel6 Author Orcid Image ;   Victoria L Williams6 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

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  2. Chen M, Zhou A, Jain N, Gronbeck C, Feng H, Grant-Kels J. Ethics of artificial intelligence in dermatology. Clinics in Dermatology 2024;42(3):313 View