Reading Turchioe Meghan, Austin Robin, Lytle Kay
Author Affiliations: Columbia University School of Nursing, New York (Dr Reading Turchioe); University of Minnesota School of Nursing, Minneapolis (Dr Austin); and Duke University Health System, Durham, NC (Dr Lytle).
Comput Inform Nurs. 2025 Jul 1;43(7):e01279. doi: 10.1097/CIN.0000000000001279.
Artificial intelligence and other digital health technologies may optimize nurses' work. Therefore, we aimed to examine the roles of nurses in facilitating the adoption of digital health technologies and identify opportunities for these technologies to reduce burnout. We conducted a cross-sectional survey study focused on nurses' use of digital health and artificial intelligence technology with nursing informaticists. Data collection was guided by the implementation science framework, Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability. Participants were recruited electronically through professional nursing informatics organizations. Survey data were analyzed using basic descriptive statistics. Fifty-two participants from across the United States completed the survey. Telehealth (73%), patient portals (71%), and medical-grade devices (69%) were most frequently used, whereas artificial intelligence was frequently used by only 38%. Staffing shortages (88%), low staff retention (81%), and inadequate support when adopting new technologies (52%) were among the key drivers of nursing burnout. Participants endorsed most nursing tasks as being supported by digital health, especially patient assessment and evaluating outcomes, and especially artificial intelligence. Engaging nurses early in the process of developing and deploying digital health, especially artificial intelligence, may help address burnout by producing more nursing-centered technologies and providing technology-enabled nursing work alternatives to bedside care.
人工智能和其他数字健康技术可能会优化护士的工作。因此，我们旨在研究护士在促进数字健康技术采用方面的作用，并确定这些技术减少职业倦怠的机会。我们开展了一项横断面调查研究，重点关注护士对数字健康和人工智能技术的使用情况，并与护理信息学家进行了合作。数据收集以实施科学框架“非采用、放弃、扩大规模、传播和可持续性”为指导。通过专业护理信息学组织以电子方式招募参与者。使用基本描述性统计方法对调查数据进行分析。来自美国各地的52名参与者完成了调查。远程医疗（73%）、患者门户网站（71%）和医疗级设备（69%）的使用最为频繁，而人工智能的使用频率仅为38%。人员短缺（88%）、员工留用率低（81%）以及采用新技术时支持不足（52%）是导致护士职业倦怠的关键因素。参与者认可数字健康，尤其是人工智能，对大多数护理任务有支持作用，特别是患者评估和结果评估。在数字健康，尤其是人工智能的开发和部署过程中尽早让护士参与，可能有助于通过开发更多以护理为中心的技术，并提供以技术为支撑的护理工作替代床边护理的方式来解决职业倦怠问题。
