Opportunities and Challenges for Digital Health and Artificial Intelligence to Support Nurses: Results of a Survey of Nursing Informaticists.

IF 1.9 4区 医学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Meghan Reading Turchioe, Robin Austin, Kay Lytle
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Abstract

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.

数字健康和人工智能为护士提供支持的机遇与挑战:护理信息学家调查结果。
人工智能和其他数字医疗技术可以优化护士的工作。因此,我们的目的是研究护士在促进采用数字健康技术方面的作用,并确定这些技术减少倦怠的机会。我们与护理信息学家一起进行了一项针对护士使用数字健康和人工智能技术的横断面调查研究。数据收集以实施科学框架、不采用、放弃、扩大规模、推广和可持续性为指导。参与者通过专业护理信息组织以电子方式招募。调查数据采用基本描述性统计进行分析。来自美国各地的52名参与者完成了这项调查。远程医疗(73%)、患者门户(71%)和医疗级设备(69%)是最常用的,而人工智能的使用频率仅为38%。人员短缺(88%)、员工留任率低(81%)以及在采用新技术时支持不足(52%)是导致护理倦怠的主要因素。与会者认为,大多数护理任务都得到了数字健康的支持,尤其是患者评估和评估结果,尤其是人工智能。在开发和部署数字医疗(尤其是人工智能)的早期就让护士参与进来,可能会产生更多以护理为中心的技术,并为床边护理提供技术支持的护理工作替代方案,从而帮助解决倦怠问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cin-Computers Informatics Nursing
Cin-Computers Informatics Nursing 工程技术-护理
CiteScore
2.00
自引率
15.40%
发文量
248
审稿时长
6-12 weeks
期刊介绍: For over 30 years, CIN: Computers, Informatics, Nursing has been at the interface of the science of information and the art of nursing, publishing articles on the latest developments in nursing informatics, research, education and administrative of health information technology. CIN connects you with colleagues as they share knowledge on implementation of electronic health records systems, design decision-support systems, incorporate evidence-based healthcare in practice, explore point-of-care computing in practice and education, and conceptually integrate nursing languages and standard data sets. Continuing education contact hours are available in every issue.
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