Research Group Technology, Health & Care, Saxion University of Applied Sciences, Enschede, Netherlands.
Research Group Smart Health, Saxion University of Applied Sciences, Enschede, Netherlands.
JMIR Nurs. 2024 May 23;7:e56474. doi: 10.2196/56474.
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.
技术对护士的工作方式产生了重大影响。数据驱动技术，如人工智能（AI），尤其具有支持护士工作的强大潜力。然而，它们的使用也带来了一些模糊性。例如，基于从老年人家庭中的环境传感器收集的数据，对老年人进行 AI 驱动的生活方式监测，就是一种这样的技术。在如此亲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护理方面有经验的护士合作。本文观点强调需要将护士和护理视角纳入长期护理环境中设计、使用和实施 AI 驱动的生活方式监测的每个阶段。有人认为，这项技术不会取代护士，而是会作为新的数字同事，补充护士的人性化素质，并无缝融入护理工作流程。本文还强调了护士与技术之间这种合作的几个优势，以及一些潜在风险，例如患者自主权降低、去人性化、缺乏透明度和失去人际接触。最后，本文提出了一些实用建议，以推进整合数字同事。
