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

RCTs - Protocols/Proposals (eHealth) (673) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1000) Clinical Information and Decision Making (1931) Adoption and Change Management of eHealth Systems (901) Decision Support for Health Professionals (1552) Design and Usability of Clinical Software and EHRs (351) Artificial Intelligence (2157) New Technologies (109)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54787, first published .
Understanding Physician’s Perspectives on AI in Health Care: Protocol for a Sequential Multiple Assignment Randomized Vignette Study

Understanding Physician’s Perspectives on AI in Health Care: Protocol for a Sequential Multiple Assignment Randomized Vignette Study

Understanding Physician’s Perspectives on AI in Health Care: Protocol for a Sequential Multiple Assignment Randomized Vignette Study

Authors of this article:

Jane Paik Kim1 Author Orcid Image ;   Hyun-Joon Yang1 Author Orcid Image ;   Bohye Kim1 Author Orcid Image ;   Katie Ryan1 Author Orcid Image ;   Laura Weiss Roberts1 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

Journals

  1. Kim B, Ryan K, Kim J. Assessing the impact of information on patient attitudes toward artificial intelligence-based clinical decision support (AI/CDS): a pilot web-based SMART vignette study. Journal of Medical Ethics 2025;51(8):541 View
  2. Kammerlander N, Khoury C. Family firm exit: A vignette study on selling to an activist versus a steward private equity investor. International Small Business Journal: Researching Entrepreneurship 2025;43(3):274 View
  3. Ryan K, Hogg J, Kasun M, Kim J. Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study. JMIR mHealth and uHealth 2025;13:e64715 View
  4. Ryan K, Yang H, Kim B, Kim J. Assessing the impact of AI on physician decision-making for mental health treatment in primary care. npj Mental Health Research 2025;4(1) View
  5. Shankar R, Devi F, Ang E, Er J. Barriers and facilitators to nurses’ adoption of artificial intelligence-driven solutions in clinical practice: a protocol for a systematic review of qualitative studies. BMJ Open 2025;15(8):e099875 View

Conference Proceedings

  1. Sudha S, Kumari D, N N. 2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN). A Comprehensive Review on Artificial Intelligence for Health Care View