A Survey of Sensors in Healthcare Workflow Monitoring

A Survey of Sensors in Healthcare Workflow Monitoring
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DOI:
10.1145/3177852
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发表时间:
2018-06-01
影响因子:
16.6
通讯作者:
Campanatti, Gelson
Campanatti, Gelson
中科院分区:
计算机科学1区
文献类型:
--
作者:
Antunes, Rodolfo S.;Seewald, Lucas A.;Campanatti, Gelson

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医疗环境中的临床工作人员的活动必须定期适应新的治疗方法,药物和技术。这种不断的演变需要监测工作流程,或参与程序的行为者的行动顺序,以确保医疗服务的质量。在这方面,传感技术的最新进展,包括实时定位系统和计算机视觉,使演员和设备的高精度跟踪成为可能。目前关于医疗工作流监控的最新技术通常集中在单一技术上,而没有讨论其与其他技术的集成。这样的整合可以带来更好的解决方案来评估医疗工作流程。本研究旨在通过对用于捕获医疗环境工作流程的传感器进行系统性文献综述,填补监测技术分析方面的差距。它的主要科学贡献是确定用于跟踪临床环境中活动的当前技术以及它们组合以实现更好结果的差距。它还提出了一个分类法来分类有关传感技术和方法的工作。文献综述没有提出将从实时定位系统和计算机视觉传感器获得的数据联合收割机组合的建议。进一步的分析表明,多模态分析更灵活,可以得到更好的结果。
Activities of a clinical staff in healthcare environments must regularly be adapted to new treatment methods, medications, and technologies. This constant evolution requires the monitoring of the workflow, or the sequence of actions from actors involved in a procedure, to ensure quality of medical services. In this context, recent advances in sensing technologies, including Real-time Location Systems and Computer Vision, enable high-precision tracking of actors and equipment. The current state-of-the-art about healthcare workflow monitoring typically focuses on a single technology and does not discuss its integration with others. Such an integration can lead to better solutions to evaluate medical workflows. This study aims to fill the gap regarding the analysis of monitoring technologies with a systematic literature review about sensors for capturing the workflow of healthcare environments. Its main scientific contribution is to identify both current technologies used to track activities in a clinical environment and gaps on their combination to achieve better results. It also proposes a taxonomy to classify work regarding sensing technologies and methods. The literature review does not present proposals that combine data obtained from Real-time Location Systems and Computer Vision sensors. Further analysis shows that a multimodal analysis is more flexible and could yield better results.