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院前环境中用于临床决策支持的可穿戴医疗设备概述。

Overview of Wearable Healthcare Devices for Clinical Decision Support in the Prehospital Setting.

作者信息

Gathright Rachel, Mejia Isiah, Gonzalez Jose M, Hernandez Torres Sofia I, Berard David, Snider Eric J

机构信息

Organ Support and Automation Technologies Group, U.S. Army Institute of Surgical Research, JBSA Fort Sam Houston, San Antonio, TX 78234, USA.

出版信息

Sensors (Basel). 2024 Dec 22;24(24):8204. doi: 10.3390/s24248204.

Abstract

Prehospital medical care is a major challenge for both civilian and military situations as resources are limited, yet critical triage and treatment decisions must be rapidly made. Prehospital medicine is further complicated during mass casualty situations or remote applications that require more extensive medical treatments to be monitored. It is anticipated on the future battlefield where air superiority will be contested that prolonged field care will extend to as much 72 h in a prehospital environment. Traditional medical monitoring is not practical in these situations and, as such, wearable sensor technology may help support prehospital medicine. However, sensors alone are not sufficient in the prehospital setting where limited personnel without specialized medical training must make critical decisions based on physiological signals. Machine learning-based clinical decision support systems can instead be utilized to interpret these signals for diagnosing injuries, making triage decisions, or driving treatments. Here, we summarize the challenges of the prehospital medical setting and review wearable sensor technology suitability for this environment, including their use with medical decision support triage or treatment guidance options. Further, we discuss recommendations for wearable healthcare device development and medical decision support technology to better support the prehospital medical setting. With further design improvement and integration with decision support tools, wearable healthcare devices have the potential to simplify and improve medical care in the challenging prehospital environment.

摘要

院前医疗护理对于平民和军事场景而言都是一项重大挑战,因为资源有限,但必须迅速做出关键的分诊和治疗决策。在大规模伤亡情况或需要监测更广泛医疗治疗的偏远应用中,院前医学变得更加复杂。预计在制空权存在争议的未来战场上,在院前环境中延长的战地护理将延长至72小时。传统的医疗监测在这些情况下并不实用,因此,可穿戴传感器技术可能有助于支持院前医学。然而,在院前环境中,仅靠传感器是不够的,因为人员有限且没有经过专业医学培训,他们必须根据生理信号做出关键决策。基于机器学习的临床决策支持系统反而可以用于解读这些信号,以诊断损伤、做出分诊决策或指导治疗。在此,我们总结了院前医疗环境的挑战,并回顾了可穿戴传感器技术在这种环境中的适用性,包括它们与医疗决策支持分诊或治疗指导选项的结合使用。此外,我们讨论了可穿戴医疗设备开发和医疗决策支持技术的建议,以更好地支持院前医疗环境。随着进一步的设计改进以及与决策支持工具的整合,可穿戴医疗设备有潜力在具有挑战性的院前环境中简化并改善医疗护理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4e0/11679471/30d38bc1ba56/sensors-24-08204-g001.jpg

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