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

Formative Evaluation of Digital Health Interventions (2828) Artificial Intelligence (1745) Clinical Information and Decision Making (1661) E-Health / Health Services Research and New Models of Care (615) Development and Evaluation of Research Methods, Instruments and Tools (634) User Needs and Competencies (374) Health Literacy, Health Numeracy, and Numeracy (27) Decision Support for Health Professionals (1341)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57204, first published .
Allied Health Professionals’ Perceptions of Artificial Intelligence in the Clinical Setting: Cross-Sectional Survey

Allied Health Professionals’ Perceptions of Artificial Intelligence in the Clinical Setting: Cross-Sectional Survey

Allied Health Professionals’ Perceptions of Artificial Intelligence in the Clinical Setting: Cross-Sectional Survey

Authors of this article:

Jane Hoffman1, 2 Author Orcid Image ;   Laetitia Hattingh1, 2, 3 Author Orcid Image ;   Lucy Shinners4 Author Orcid Image ;   Rebecca L Angus1 Author Orcid Image ;   Brent Richards1, 5 Author Orcid Image ;   Ian Hughes1, 6 Author Orcid Image ;   Rachel Wenke1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Hoffman J, Wenke R, Angus R, Shinners L, Richards B, Hattingh L. Overcoming barriers and enabling artificial intelligence adoption in allied health clinical practice: A qualitative study. DIGITAL HEALTH 2025;11 View
  2. Evans K, Papinniemi A, Ploderer B, Nicholson V, Hindhaugh T, Vuvan V, Cowley N, Tariq A, Thomson H. Impact of using an AI scribe on clinical documentation and clinician-patient interactions in allied health private practice: perspectives of clinicians and patients. Musculoskeletal Science and Practice 2025;78:103333 View