arXiv:2509.25928cs.AI2025-09被引 1

KIRETT可穿戴设备在救援中实现实时医疗支持,提升救治效率。

Quantitative Evaluation of KIRETT Wearable Demonstrator for Rescue Operations

  • 基于可穿戴设备与AI的实时生命体征监测与治疗建议
  • 14名救援人员参与两日测试,验证系统实用性与响应速度
  • 适合急救场景下快速获取患者数据与决策支持的救援团队

医疗健康领域持续面临为患者提供以患者为中心的精准医疗支持的压力,以确保快速准确的治疗。此类场景需包含病史、长期医疗数据及详细问诊。但在时间紧迫的紧急情况下,这些沟通和耗时的详述无法实现。救援服务需要为患者提供快速可靠的治疗。借助现代技术,如治疗建议、实时生命体征监测以及通过人工智能(AI)进行的情境识别,可对情况快速分析并支持基于患者数据的精准医疗决策。KIRETT项目开发了一款可穿戴设备,旨在支持此类情境,并提供救援服务中的治疗建议。本文旨在呈现对14名参与者进行为期两天的KIRETT评估的量化结果,以分析救援操作员在医疗救援中的实际需求。

原文摘要 · Abstract (English)

Healthcare and Medicine are under constant pressure to provide patient-driven medical expertise to ensure a fast and accurate treatment of the patient. In such scenarios, the diagnosis contains, the family history, long term medical data and a detailed consultation with the patient. In time-critical emergencies, such conversation and time-consuming elaboration are not possible. Rescue services need to provide fast, reliable treatments for the patient in need. With the help of modern technologies, like treatment recommendations, real-time vitals-monitoring, and situation detection through artificial intelligence (AI) a situation can be analyzed and supported in providing fast, accurate patient-data-driven medical treatments. In KIRETT, a wearable device is developed to support in such scenarios and presents a way to provide treatment recommendation in rescue services. The objective of this paper is to present the quantitative results of a two-day KIRETT evaluation (14 participants) to analyze the needs of rescue operators in healthcare.

可穿戴设备急救支持AI医疗

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