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

Theme Issue 2023: Digital Health Skills and Competencies for Clinicians and Health Care Professionals (17) Allied Health Professions (26) Theories, Models, and Frameworks in Human Factors (100) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (197) Models and Frameworks in Medical Education (59) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1010)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54137, first published .
Roles and Responsibilities of the Global Specialist Digital Health Workforce: Analysis of Global Census Data

Roles and Responsibilities of the Global Specialist Digital Health Workforce: Analysis of Global Census Data

Roles and Responsibilities of the Global Specialist Digital Health Workforce: Analysis of Global Census Data

Authors of this article:

Kerryn Butler-Henderson1, 2 Author Orcid Image ;   Kathleen Gray2, 3 Author Orcid Image ;   Salma Arabi1, 2 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Wani T, Liem M, Prasad N, Robinson K, Nexhip A, Tassos M, Gjorgioski S, Khan U, Boyd J, Riley M. Susceptibility of Assessment Types to AI-Generated Content: a Quasi-Experimental Pilot Study in Digital Health and Health Information Management Education (Preprint). JMIR Medical Education 2025 View