Apiratwarakul Korakot, Cheung Lap Woon, Pearkao Chatkhane, Ienghong Kamonwon
Department of Emergency Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Accident & Emergency Department, Princess Margaret Hospital, Kowloon, Hong Kong.
Arch Acad Emerg Med. 2025 Jun 2;13(1):e53. doi: 10.22037/aaemj.v13i1.2661. eCollection 2025.
Smart glasses with an augmented reality workflow have emerged as a new tool for triage in mass casualty incidents (MCIs). This study aimed to investigate the accuracy and time efficiency of smart glasses in MCIs triage.
A retrospective field exercise study was conducted in November 2024 at EMS Srinagarind Hospital, Thailand. All participants performed self-assessments and used smart glasses for triage sieve. Data were recorded in terms of accuracy and time required for triage.
A total of 108 participants were enrolled, with a mean age of 33.4 years, of whom 57.4% were female. The smart glasses group achieved the highest accuracy in triage level 1, with 98.3% compared to 79.3% in the self-assessment group (P < 0.001). The smart glasses group also completed triage significantly faster than the self-assessment group, with a time of 23.5 versus 72.4 seconds for triage level 1 and 31.3 versus 89.1 seconds for level 2.
The use of smart glasses with an augmented reality workflow for triage sieve in MCIs is beneficial, improving both accuracy and evaluation time for patients in triage levels 1 and 2.
具备增强现实工作流程的智能眼镜已成为大规模伤亡事件（MCI）分诊的一种新工具。本研究旨在调查智能眼镜在MCI分诊中的准确性和时间效率。
2024年11月在泰国诗里拉吉医院急救中心进行了一项回顾性现场演练研究。所有参与者进行自我评估，并使用智能眼镜进行分诊筛查。记录分诊的准确性和所需时间数据。
共招募了108名参与者，平均年龄33.4岁，其中57.4%为女性。智能眼镜组在1级分诊中准确率最高，为98.3%，而自我评估组为79.3%（P<0.001）。智能眼镜组完成分诊的速度也明显快于自我评估组，1级分诊时间分别为23.5秒和72.4秒，2级分诊时间分别为31.3秒和89.1秒。
在MCI中使用具备增强现实工作流程的智能眼镜进行分诊筛查是有益的，可提高1级和2级分诊患者的准确性和评估时间。
