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An architecture for online comparison and validation of processing methods and computerized guidelines in intensive care units.

机译:用于重症监护病房中处理方法和计算机化指南的在线比较和验证的体系结构。

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摘要

Clinical decision support systems are a combination of software techniques to help the clinicians in their medical decision making process via functionalities ranging from basic signal analysis to therapeutic planning and computerized guidelines. The algorithms providing all these functionalities must be very carefully validated on real patient data and must be confronted to everyday clinical practice. One of the main problems when developing these techniques is the difficulty to obtain high-quality complete patient records, comprising data coming both from the biomedical equipment (high-frequency signals), and from numerous other sources (therapeutics, imagery, clinical actions, etc.). In this paper, we present an infrastructure for developing and testing such software algorithms. It is based on a bedside workstation where testing different algorithms simultaneously on real-time data is possible in the ward. It is completed by a collaborative portal enabling different teams to test their software algorithms on the same patient records, making comparisons and cross-validations more easily.
机译:临床决策支持系统是软件技术的组合,可通过从基本信号分析到治疗计划和计算机化指南的功能帮助临床医生进行医疗决策。提供所有这些功能的算法必须在真实的​​患者数据上非常仔细地验证,并且必须面对日常临床实践。开发这些技术时的主要问题之一是难以获得高质量的完整患者记录,包括来自生物医学设备(高频信号)以及来自许多其他来源(治疗,图像,临床行动等)的数据)。在本文中,我们提供了用于开发和测试此类软件算法的基础结构。它基于床头工作站,可以在病房中同时对实时数据测试不同的算法。它由协作门户网站完成,使不同的团队可以在相同的患者记录上测试他们的软件算法,从而使比较和交叉验证更加容易。

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