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

Theme Issue: Artificial Intelligence (AI) in Nursing (84) Knowledge Translation and Implementation Science (761) Decision Support for Health Professionals (2175) User Training and Skills (74) Use and User Demographics of mHealth (503) Artificial Intelligence (4639) Nursing Education and Training (304) Novel and Innovative Approaches to Care Involving Nurses (147) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (273)

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78560, first published .
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Community Health Nurses’ Knowledge and Perceptions of AI in Canada: National Cross-Sectional Survey

Community Health Nurses’ Knowledge and Perceptions of AI in Canada: National Cross-Sectional Survey

Authors of this article:

Mary Henderson Betkus1 Author Orcid Image ;   Davina Banner1 Author Orcid Image ;   Leanne Currie2 Author Orcid Image ;   Piper Jackson3 Author Orcid Image ;   Shannon Freeman1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Sun Y, Chong M, Zhang J, Guo R, Xu F, Chui P. Digital Health in Midwifery Practice: A Qualitative Review of Midwives’ Experiences and Perceptions. International Nursing Review 2026;73(2) View
  2. Betkus M, Banner D, Currie L, Jackson P, Freeman S. Community Health Nurses’ Perceptions of Emerging Artificial Intelligence and its Impact on Nursing Practice: An Explanatory Sequential Mixed Methods Study. Canadian Journal of Nursing Research 2026 View
  3. Scholz F, Sahakian T, Güven N, Renkema M, Shulzhenko E, Cuijpers C, Schouten G, Wouters E, de Vries E. Artificial Intelligence technologies’ impact on the work design of healthcare professionals: a scoping review and future research agenda. The International Journal of Human Resource Management 2026:1 View