Park Ju Young
College of Nursing, Konyang University, 158 Gwanjedong-ro, Seo-gu, Daejeon 35365, Korea.
Healthcare (Basel). 2021 Jul 13;9(7):877. doi: 10.3390/healthcare9070877.
This study was conducted to contribute to active disaster response by developing internet of things (IoT)-based vital sign monitoring e-triage tag system to improve the survival rate at disaster mass casualty incidents fields. The model used in this study for developing the e-triage tag system is the rapid prototyping model (RAD). The process comprised six steps: analysis, design, development, evaluation, implementation, and simulation. As a result of detailed assessment of the system design and development by an expert group, areas with the highest score in the triage sensor evaluation were rated "very good", with 5 points for continuous vital sign data delivery, portability, and robustness. In addition, ease of use, wearability, and electricity consumption were rated 4.8, 4.7, and 4.6 points, respectively. In the triage application evaluation, the speed and utility scored a perfect 5 points, and the reliability and expressiveness were rated 4.9 points and 4.8 points, respectively. This study will contribute significantly to increasing the survival rate via the development of a conceptual prehospital triage for field applications and e-triage tag system implementation.
本研究旨在通过开发基于物联网(IoT)的生命体征监测电子分诊标签系统,为积极的灾害应对做出贡献,以提高灾害大规模伤亡事件现场的存活率。本研究中用于开发电子分诊标签系统的模型是快速原型模型(RAD)。该过程包括六个步骤:分析、设计、开发、评估、实施和模拟。通过专家组对系统设计和开发的详细评估,分诊传感器评估中得分最高的领域被评为“非常好”,连续生命体征数据传输、便携性和稳健性得5分。此外,易用性、可穿戴性和耗电量分别得4.8分、4.7分和4.6分。在分诊应用评估中,速度和实用性得满分5分,可靠性和表现力分别得4.9分和4.8分。本研究将通过开发用于现场应用的概念性院前分诊和实施电子分诊标签系统,为提高存活率做出重大贡献。