Karen Lok Yi Wong, Lillian Hung, Joey Wong, Juyoung Park, Hadil Alfares, Yong Zhao, Abdolhossein Mousavinejad, Albin Soni, Hui Zhao
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(2) What strategies can be taken to overcome these barriers to the adoption of AI-enabled robots in LTC homes?</p><p><strong>Methods: </strong>We are a team consisting of 3 researchers, 2 health care providers, 2 research trainees, and 1 older adult partner with diverse disciplines in nursing, social work, engineering, and medicine. Referring to the Joanna Briggs Institute methodology, our team searched databases (CINAHL, MEDLINE, PsycINFO, Web of Science, ProQuest, and Google Scholar) for peer-reviewed and gray literature, screened the literature, and extracted the data. We analyzed the data as a team. We compared our findings with the Person-Centered Practice Framework and Consolidated Framework for Implementation Research to further our understanding of the findings.</p><p><strong>Results: </strong>This review includes 33 articles that met the inclusion criteria. 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引用次数: 0
摘要
背景：长期护理（LTC）机构面临着居民护理需求日益增长和医护人员短缺的挑战。有文献表明，人工智能（AI）机器人可以解决这些挑战，并支持以人为本的护理。目前还缺乏探讨医疗服务提供者观点的文献，而医疗服务提供者的观点对于实施人工智能机器人至关重要：本次范围界定综述旨在探索这些稀缺的文献，以回答两个问题：（1）医疗服务提供者认为在长期护理院采用人工智能机器人存在哪些障碍？(2）可以采取哪些策略来克服这些障碍，从而在长者照护中心采用人工智能机器人？我们是一个由 3 名研究人员、2 名医疗服务提供者、2 名研究实习生和 1 名老年人合作伙伴组成的团队，成员来自护理、社会工作、工程和医学等不同学科。参照乔安娜-布里格斯研究所（Joanna Briggs Institute）的方法，我们的团队在数据库（CINAHL、MEDLINE、PsycINFO、Web of Science、ProQuest 和 Google Scholar）中搜索同行评议文献和灰色文献，筛选文献并提取数据。我们作为一个团队对数据进行了分析。我们将研究结果与 "以人为本的实践框架 "和 "实施研究综合框架 "进行了比较，以进一步理解研究结果：本综述包括 33 篇符合纳入标准的文章。我们发现了采用人工智能机器人的三个障碍：（1）感知到的技术复杂性和局限性；（2）负面影响、有用性存疑和伦理问题；以及（3）资源限制。此外，还探讨了减少这些障碍的策略：（1）满足居民和医疗服务提供者的各种需求；（2）增加对使用机器人益处的了解；（3）审查并克服安全问题；以及（4）提高使用机器人的兴趣并提供培训：以往的文献建议使用人工智能机器人来解决护理需求日益增长和长期护理中心人员短缺的挑战。然而，我们的研究结果表明，医疗服务提供者可能出于不同的考虑而不使用机器人。这意味着，在使用机器人时，需要听取医疗服务提供者的意见：RR2-doi:10.1136/bmjopen-2023-075278.
Adoption of Artificial Intelligence-Enabled Robots in Long-Term Care Homes by Health Care Providers: Scoping Review.
Background: Long-term care (LTC) homes face the challenges of increasing care needs of residents and a shortage of health care providers. Literature suggests that artificial intelligence (AI)-enabled robots may solve such challenges and support person-centered care. There is a dearth of literature exploring the perspectives of health care providers, which are crucial to implementing AI-enabled robots.
Objective: This scoping review aims to explore this scant body of literature to answer two questions: (1) what barriers do health care providers perceive in adopting AI-enabled robots in LTC homes? (2) What strategies can be taken to overcome these barriers to the adoption of AI-enabled robots in LTC homes?
Methods: We are a team consisting of 3 researchers, 2 health care providers, 2 research trainees, and 1 older adult partner with diverse disciplines in nursing, social work, engineering, and medicine. Referring to the Joanna Briggs Institute methodology, our team searched databases (CINAHL, MEDLINE, PsycINFO, Web of Science, ProQuest, and Google Scholar) for peer-reviewed and gray literature, screened the literature, and extracted the data. We analyzed the data as a team. We compared our findings with the Person-Centered Practice Framework and Consolidated Framework for Implementation Research to further our understanding of the findings.
Results: This review includes 33 articles that met the inclusion criteria. We identified three barriers to AI-enabled robot adoption: (1) perceived technical complexity and limitation; (2) negative impact, doubted usefulness, and ethical concerns; and (3) resource limitations. Strategies to mitigate these barriers were also explored: (1) accommodate the various needs of residents and health care providers, (2) increase the understanding of the benefits of using robots, (3) review and overcome the safety issues, and (4) boost interest in the use of robots and provide training.
Conclusions: Previous literature suggested using AI-enabled robots to resolve the challenges of increasing care needs and staff shortages in LTC. Yet, our findings show that health care providers might not use robots because of different considerations. The implication is that the voices of health care providers need to be included in using robots.
International registered report identifier (irrid): RR2-doi:10.1136/bmjopen-2023-075278.
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