Hassan Eman Arafa, El-Ashry Ayman Mohamed
Critical Care and Emergency Nursing Department, Faculty of Nursing, Alexandria University, Alexandria, Egypt.
Psychiatric and Mental Health Nursing Department, Faculty of Nursing, Alexandria University, Alexandria, Egypt.
BMC Nurs. 2024 Oct 14;23(1):752. doi: 10.1186/s12912-024-02363-4.
The integration of artificial intelligence (AI) in intensive care units (ICUs) presents both opportunities and challenges for critical care nurses. This study delves into the human factor, exploring how nurses with leadership roles perceive the impact of AI on their professional practice.
To investigate how nurses perceive the impact of AI on their professional identity, ethical considerations surrounding its use, and the shared meanings they attribute to trust, collaboration, and communication when working with AI systems.
An interpretive phenomenological analysis was used to capture the lived experiences of critical care nurses leading with AI. Ten nurses with leadership roles in various ICU specializations were interviewed through purposive sampling. Semi-structured interviews explored nurses' experiences with AI, challenges, and opportunities. Thematic analysis identified recurring themes related to the human factor in leading with AI.
Thematic analysis revealed two key themes which are leading with AI: making sense of challenges and opportunities and the human factor in leading with AI. The two main themes have six subthemes which revealed that AI offered benefits like task automation, but concerns existed about overreliance and the need for ongoing training. New challenges emerged, including adapting to new workflows and managing potential bias. Clear communication and collaboration were crucial for successful AI integration. Building trust in AI hinged on transparency, and collaboration allowed nurses to focus on human-centered care while AI supported data analysis. Ethical considerations included maintaining patient autonomy and ensuring accountability in AI-driven decisions.
While AI presents opportunities for automation and data analysis, successful integration hinges on addressing concerns about overreliance, workflow adaptation, and potential bias. Building trust and fostering collaboration are fundamentals for AI integration. Transparency in AI systems allows nurses to confidently delegate tasks, while collaboration empowers them to focus on human-centered care with AI support. Ultimately, dealing with the ethical concerns of AI in ICU care requires prioritizing patient autonomy and ensuring accountability in AI-driven decisions.
在重症监护病房（ICU）中整合人工智能（AI），对重症护理护士而言既带来了机遇，也带来了挑战。本研究深入探讨人为因素，探究担任领导角色的护士如何看待人工智能对其专业实践的影响。
调查护士如何看待人工智能对其职业身份的影响、围绕其使用的伦理考量，以及在与人工智能系统合作时他们赋予信任、协作和沟通的共同意义。
采用诠释现象学分析法，以捕捉在人工智能引领下的重症护理护士的生活经历。通过目的抽样法，对在不同ICU专科担任领导角色的10名护士进行了访谈。半结构化访谈探讨了护士在人工智能方面的经历、挑战和机遇。主题分析确定了与在人工智能引领下的人为因素相关的反复出现的主题。
主题分析揭示了两个关键主题，即在人工智能引领下：理解挑战与机遇以及在人工智能引领下的人为因素。这两个主要主题有六个子主题，表明人工智能带来了任务自动化等好处，但也存在对过度依赖和持续培训需求的担忧。出现了新的挑战，包括适应新的工作流程和管理潜在偏差。清晰的沟通与协作对于成功整合人工智能至关重要。对人工智能建立信任取决于透明度，而协作使护士能够专注于以患者为中心的护理，同时人工智能支持数据分析。伦理考量包括维护患者自主权以及确保人工智能驱动决策中的问责制。
虽然人工智能为自动化和数据分析带来了机遇，但成功整合取决于解决对过度依赖、工作流程适应和潜在偏差的担忧。建立信任和促进协作是人工智能整合的基础。人工智能系统的透明度使护士能够自信地分配任务，而协作使他们能够在人工智能支持下专注于以患者为中心的护理。最终，在ICU护理中处理人工智能的伦理问题需要优先考虑患者自主权，并确保人工智能驱动决策中的问责制。
