智能报警,监护患者

A. Otero, P. Félix, F. Palacios, C. Pérez-Gandía, C. Sorzano
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引用次数: 10

摘要

这项工作提出了一种创建智能警报的建议,该警报为医务人员提供比目前商用监视器中可用的阈值警报更有效的支持。我们的警报可以处理医学领域的不确定性和不精确性,对生理变量的时间演变进行推理,并将来自多个变量的信息整合到一个警报中。该建议基于结构模式识别模型(MFTP模型),该模型允许在计算表示中捕获和识别患者生理变量的演变中的某些监测标准。使用图形工具(TRACE)对标准进行描述,该工具足够直观,医生无需帮助即可使用。
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Intelligent alarms for patient supervision
This work presents a proposal for creating intelligent alarms that offer more efficient support to medical staff than the threshold alarms currently available in commercial monitors. Our alarms make it possible to handle the uncertainty and imprecision that are characteristic of the medical domain, reason over the temporal evolution of physiological variables, and incorporate information from a number of variables into one single alarm. The proposal is based on a structural pattern recognition model (the MFTP model) which allows certain monitoring criteria in a computational representation to be captured and identified over the evolution of patients' physiological variables. The description of the criteria is carried out using a graphical tool (TRACE), which is sufficiently intuitive to be used by physicians without the need for assistance.
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