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REVIEW article

Front. Public Health
Sec. Digital Public Health
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1368805
This article is part of the Research Topic The Translation and Implementation of Robotics and Embodied AI in Healthcare View all 5 articles

Advancing Healthcare through Mobile Collaboration: A Survey 2 of Intelligent Nursing Robots Research 3

Provisionally accepted
Boyuan Wang Boyuan Wang 1,2Chen Shanji Chen Shanji 3Gexin Xiao Gexin Xiao 4*Zhenggang Ni Zhenggang Ni 4*
  • 1 Beijing Xiaotangshan Hospital, Beijing, China
  • 2 School of Computer Science and Engineering, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau SAR 999078, China, Macau, Macao, SAR China
  • 3 The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China
  • 4 National Institute of Hospital Administration, Beijing, Beijing Municipality, China

The final, formatted version of the article will be published soon.

    Mobile collaborative intelligent nursing robots have gained significantconsider-20 able attention in the healthcare sector as an innovative solution to address the challenges 21 posed by the increasing aging population and limited medical resources. This article pro-22 vides a comprehensive overview of the research advancements in this field, covering hos-23 pital care, home elderly care, and rehabilitation assistance. In hospital settings, these ro-24 bots assist healthcare professionals in tasks such as patient monitoring, medication man-25 agement, and bedside care. For home elderly care, they enhance the elderly's sense of se-26 curity and quality of life by offering daily life support and monitoring. In rehabilitation, 27 these robots provide services such as physical rehabilitation training and social interaction 28 to facilitate patient recovery. However, the development of intelligent nursing robots 29 faces challenges in technology, ethics, law, and user acceptance. Future efforts should fo-30 cus on improving robots' perceptual and cognitive abilities, enhancing human-robot in-31 teraction, and conducting extensive clinical experiments for broader applications.

    Keywords: Mobile collaboration, nursing robots, artificial intelligence, clinical applications, Re-33 view Literature 34

    Received: 29 Jan 2024; Accepted: 09 Oct 2024.

    Copyright: © 2024 Wang, Shanji, Xiao and Ni. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Gexin Xiao, National Institute of Hospital Administration, Beijing, Beijing Municipality, China
    Zhenggang Ni, National Institute of Hospital Administration, Beijing, Beijing Municipality, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.