在重症监护病房增强现实移动病人监测

S. Kimmel, Vanessa Cobus, Wilko Heuten
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引用次数: 3

摘要

德国重症监护病房(icu)正处于危机之中,与日益短缺的熟练工人作斗争,最终使患者的安全处于危险之中。为了抵消这一过程,研究人员越来越关注寻找数字解决方案,旨在通过提高重复出现的关键护理任务的效率来支持医疗保健专业人员,从而改善工作条件。在这方面,本文评估了增强现实(AR)在重症监护患者监测中的应用。基于一项观察性研究、半结构化访谈以及定量分析,确定了移动患者监测场景,特别是在患者运输过程中,是在现场使用AR的创新环境。此外,可以从获得的研究结果中获得高可穿戴性,免提可操作性和清晰的数据表示等用户需求。为了验证这些和确定进一步的需求,随后开发了三个不同于数据说明格式的原型,并通过进行在线调查进行了定量和定性评估。因此,很明显,未来相应的患者监测系统的实现应该特别集成与上下文相关的数据表示,因为这结合了高可导航性和所需数据的可用性。确定患者转运过程中的患者监测作为潜在的使用情境,以及区分情境相关的设计方法是有利的,这构成了本工作的两个关键贡献,并为未来在护理领域和其他相关情境中实现AR系统提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
opticARe - Augmented Reality Mobile Patient Monitoring in Intensive Care Units
German Intensive Care Units (ICUs) are in crisis, struggling with an increasing shortage of skilled workers, ultimately putting patients’ safety at risk. To counteract this process, researchers are increasingly concerned with finding digital solutions which aim to support healthcare professionals by enhancing the efficiency of reoccurring critical caring tasks and thus, improve working conditions. In this regard, this paper evaluates the application of Augmented Reality (AR) for patient monitoring for critical care nursing. Grounded on an observational study, semi-structured interviews, as well as a quantitative analysis, mobile patient monitoring scenarios, present particularly during patient transport, were identified as an innovative context of use of AR in the field. Additionally, user requirements such as high wearability, hands-free operability, and clear data representation could be derived from the obtained study results. For validation of these and identification of further requirements, three prototypes differing in their data illustration format were subsequently developed and quantitatively, as well as qualitatively evaluated by conducting an online survey. Thereby, it became evident that future implementations of a corresponding system for patient monitoring ought to integrate a context-dependent data presentation in particular, as this combines high navigability and availability of required data. Identifying patient monitoring during patient transport as a potential context of use, as well as distinguishing a context-dependent design approach as favorable constitute two key contributions of this work and provide a foundation on which future implementations of AR systems in the nursing domain and other related contexts can be established.
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