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

Artificial Intelligence (2129) Generative Language Models Including ChatGPT (708) Adoption and Change Management of eHealth Systems (894) Ethical, Legal, and Social Issues in AI (102) Digital Health, Telehealth and e-Innovation in Clinical Settings (556)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70789, first published .
Adoption of Large Language Model AI Tools in Everyday Tasks: Multisite Cross-Sectional Qualitative Study of Chinese Hospital Administrators

Adoption of Large Language Model AI Tools in Everyday Tasks: Multisite Cross-Sectional Qualitative Study of Chinese Hospital Administrators

Adoption of Large Language Model AI Tools in Everyday Tasks: Multisite Cross-Sectional Qualitative Study of Chinese Hospital Administrators

Authors of this article:

Jun Chen1 Author Orcid Image ;   Yu Liu2 Author Orcid Image ;   Peng Liu1 Author Orcid Image ;   Yiming Zhao1 Author Orcid Image ;   Yan Zuo3, 4, 5 Author Orcid Image ;   Hui Duan6 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Ortiz Luzuriaga D, Briones Morales V. Inteligencia Artificial en la gestión de los servicios de salud: Estado actual y perspectivas futuras. ASCE 2025;4(2) View
  2. Dai G, Xiao H, Kuerbanjiang W, Yi Y. Artificial Intelligence Platform Architecture for Hospital Systems: Systematic Review (Preprint). Journal of Medical Internet Research 2025 View
  3. Ruan J, Tang Y, Wei Z, Xing W, Hu Y. Nurses’ Perspectives on Evidence Dissemination Barriers and Large Language Model–Based Support: Qualitative Study Using Focus Groups and Nominal Group Technique. Journal of Medical Internet Research 2025;27:e80289 View