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

Robots in Healthcare (100) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (916) Nursing (115)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37731, first published .
Enhancing Nurse–Robot Engagement: Two-Wave Survey Study

Enhancing Nurse–Robot Engagement: Two-Wave Survey Study

Enhancing Nurse–Robot Engagement: Two-Wave Survey Study

Authors of this article:

Gen-Yih Liao1, 2 Author Orcid Image ;   Tzu-Ling Huang3 Author Orcid Image ;   May-Kuen Wong4 Author Orcid Image ;   Yea-Ing Lotus Shyu5 Author Orcid Image ;   Lun-Hui Ho6, 7 Author Orcid Image ;   Chi Wang5, 6 Author Orcid Image ;   T C E Cheng8 Author Orcid Image ;   Ching-I Teng4, 9, 10 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics

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  2. Lim Y, Tan S, Tan C, Lee D, Siow W, Heng D, Mukhopadhyay A, Lim J, Sivadas S, Teo E, Ho L, Phua J. An Assessment of an Inpatient Robotic Nurse Assistant: A Mixed-Method Study. Journal of Medical Systems 2024;48(1) View
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  5. Zhu J, Yuan S, Pu L, Martin-Payo R, Wei L, Qiu M, Zhang F. Nursing postgraduates’ innovative behaviour, influencing factors and educational requirements: a national cross-sectional study. BMC Medical Education 2025;25(1) View
  6. Zhang S, Liu L, Peng T, Ding S, Nashwan A. Patterns and Trends in Global Nursing Robotics Research: A Bibliometric Study. Journal of Nursing Management 2025;2025(1) View