The Cooperation Between Nurses and a New Digital Colleague "AI-Driven Lifestyle Monitoring" in Long-Term Care for Older Adults: Viewpoint.

JMIR nursing Pub Date : 2024-05-23 DOI:10.2196/56474
Sjors Groeneveld, Gaya Bin Noon, Marjolein E M den Ouden, Harmieke van Os-Medendorp, J E W C van Gemert-Pijnen, Rudolf M Verdaasdonk, Plinio Pelegrini Morita
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Abstract

Technology has a major impact on the way nurses work. Data-driven technologies, such as artificial intelligence (AI), have particularly strong potential to support nurses in their work. However, their use also introduces ambiguities. An example of such a technology is AI-driven lifestyle monitoring in long-term care for older adults, based on data collected from ambient sensors in an older adult's home. Designing and implementing this technology in such an intimate setting requires collaboration with nurses experienced in long-term and older adult care. This viewpoint paper emphasizes the need to incorporate nurses and the nursing perspective into every stage of designing, using, and implementing AI-driven lifestyle monitoring in long-term care settings. It is argued that the technology will not replace nurses, but rather act as a new digital colleague, complementing the humane qualities of nurses and seamlessly integrating into nursing workflows. Several advantages of such a collaboration between nurses and technology are highlighted, as are potential risks such as decreased patient empowerment, depersonalization, lack of transparency, and loss of human contact. Finally, practical suggestions are offered to move forward with integrating the digital colleague.

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老年人长期护理中护士与新数字同事 "人工智能驱动的生活方式监测 "之间的合作:观点。
技术对护士的工作方式有着重大影响。数据驱动技术,如人工智能(AI),在支持护士工作方面具有特别强大的潜力。然而,这些技术的使用也带来了模糊性。人工智能驱动的老年人长期护理生活方式监测就是这样一种技术,它基于从老年人家中的环境传感器收集到的数据。在如此私密的环境中设计和实施这项技术,需要与在长期护理和老年人护理方面经验丰富的护士合作。本观点文件强调,在长期护理环境中设计、使用和实施人工智能驱动的生活方式监控的每个阶段,都需要将护士和护理视角纳入其中。本文认为,该技术不会取代护士,而是作为一种新的数字同事,与护士的人文素质相辅相成,并无缝融入护理工作流程。文章强调了护士与技术合作的若干优势,以及潜在的风险,如降低病人的能力、去个性化、缺乏透明度和失去人与人之间的接触。最后,提出了推进数字同事整合的实用建议。
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来源期刊
CiteScore
5.20
自引率
0.00%
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0
审稿时长
16 weeks
期刊最新文献
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