Khairat Saif, Morelli Jennifer, Liao Wan-Ting, Aucoin Julia, Edson Barbara S, Jones Cheryl B
Carolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
School of Nursing, University of North Carolina at Chapel Hill, 438 Carrington Dr, CB 7460, Chapel Hill, NC, 27519, United States, 1 919-843-6761.
JMIR Hum Factors. 2025 Apr 22;12:e67111. doi: 10.2196/67111.
The virtual nursing delivery model enables the provision of expert nursing care from a remote location, using technology such as audio and video communication, remote monitoring devices, and access to electronic health records. Virtual nurses spend an extensive amount of time on computers to provide care, and little is known about how this workflow may affect and contribute to cognitive fatigue.
This study aimed to use eye tracking technology and pupil size variation to determine instances of virtual nurse cognitive fatigue during their typical workflow.
This study examined the virtual nursing workflow by recording and analyzing virtual nurse encounters using eye tracking. This cross-sectional study was conducted during regular 12-hour shifts at a major Southeastern health center in the United States.
The study found that 75% (22/29) of virtual nursing encounters demonstrated a first fatigue instance at 9.8 minutes during patient discharges and at 11.9 minutes during patient admissions.
This study provides valuable insights into virtual nursing workflow design and how it may impact the cognitive fatigue levels of nurses providing inpatient virtual care.
虚拟护理服务模式能够利用音频和视频通信、远程监测设备以及电子健康记录访问等技术,从远程位置提供专业护理服务。虚拟护士在电脑上花费大量时间提供护理服务,而对于这种工作流程如何影响并导致认知疲劳,人们了解甚少。
本研究旨在利用眼动追踪技术和瞳孔大小变化来确定虚拟护士在其典型工作流程中的认知疲劳情况。
本研究通过使用眼动追踪技术记录和分析虚拟护士与患者的互动过程,来研究虚拟护理工作流程。这项横断面研究是在美国东南部一家大型医疗中心的常规12小时轮班期间进行的。
研究发现,75%(22/29)的虚拟护理互动在患者出院时9.8分钟、患者入院时11.9分钟出现首次疲劳情况。
本研究为虚拟护理工作流程设计以及它如何影响提供住院虚拟护理的护士的认知疲劳水平提供了有价值的见解。