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

Viewpoints and Perspectives (617) Artificial Intelligence (2087) Telehealth and Telemonitoring (2067) Digital Health, Telehealth and e-Innovation in Clinical Settings (545) Adoption and Change Management of eHealth Systems (883) Theoretical Frameworks and Concepts (335) Ethical, Legal, and Social Issues in AI (98)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51785, first published .
Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective

Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective

Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective

Authors of this article:

Karl Werder1 Author Orcid Image ;   Lan Cao2 Author Orcid Image ;   Eun Hee Park2 Author Orcid Image ;   Balasubramaniam Ramesh3 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Hussain S, Bresnahan M, Zhuang J. Can artificial intelligence revolutionize healthcare in the Global South? A scoping review of opportunities and challenges. DIGITAL HEALTH 2025;11 View
  2. Ye C, Wang Z, Wu M, Kang R, Yuan F, Chen C. Behavioral drivers of AI nursing acceptance in the Greater Bay Area: a family-caregiver perspective on trust and risk. Frontiers in Public Health 2025;13 View
  3. Silalahi A. Frustration Dissonance and the Paradox of Persistence in ChatGPT Usage: Insights from Indonesia and Taiwan. International Journal of Human–Computer Interaction 2025:1 View