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A Survey of Sensors in Healthcare Workflow Monitoring

机译：医疗保健工作流监控中的传感器调查

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摘要

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.
机译：临床人员在医疗保健环境中的活动必须定期适应新的治疗方法，药物和技术。这种不断的发展需要对工作流程进行监视，或者需要对过程中涉及的参与者进行一系列操作，以确保医疗服务的质量。在这种情况下，包括实时定位系统和计算机视觉在内的传感技术的最新进展使得能够对演员和设备进行高精度跟踪。当前有关医疗保健工作流监视的最新技术通常只关注一种技术，而不讨论与其他技术的集成。这种集成可以为评估医疗工作流程提供更好的解决方案。本研究旨在通过有关用于捕获医疗环境工作流的传感器的系统文献综述来填补有关监测技术分析的空白。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两者组合方面的差距，以取得更好的结果。它还提出了分类法，以对有关传感技术和方法的工作进行分类。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进行组合的建议。进一步的分析表明，多峰分析更加灵活，可以产生更好的结果。

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