Neurocritical Care Unit, Department of Neurosurgery and Institute of Intensive Care Medicine, University Hospital Zurich, Zurich, Switzerland.
Institute for Medical Engineering and Medical Informatics, School of Life Sciences, University of Applied Sciences and Arts Northwestern Switzerland, Muttenz, Switzerland.
J Am Med Inform Assoc. 2022 Jun 14;29(7):1286-1291. doi: 10.1093/jamia/ocac064.
ICU Cockpit: a secure, fast, and scalable platform for collecting multimodal waveform data, online and historical data visualization, and online validation of algorithms in the intensive care unit. We present a network of software services that continuously stream waveforms from ICU beds to databases and a web-based user interface. Machine learning algorithms process the data streams and send outputs to the user interface. The architecture and capabilities of the platform are described. Since 2016, the platform has processed over 89 billion data points (N = 979 patients) from 200 signals (0.5-500 Hz) and laboratory analyses (once a day). We present an infrastructure-based framework for deploying and validating algorithms for critical care. The ICU Cockpit is a Big Data platform for critical care medicine, especially for multimodal waveform data. Uniquely, it allows algorithms to seamlessly integrate into the live data stream to produce clinical decision support and predictions in clinical practice.
ICU 驾驶舱:一个安全、快速且可扩展的平台,用于在重症监护病房中收集多模式波形数据、在线和历史数据可视化以及在线验证算法。我们展示了一个软件服务网络,该网络可将波形从 ICU 病床连续传输到数据库和基于 Web 的用户界面。机器学习算法处理数据流并将输出发送到用户界面。描述了该平台的架构和功能。自 2016 年以来,该平台已处理了来自 200 个信号(0.5-500 Hz)和实验室分析(每天一次)的超过 890 亿个数据点(N=979 名患者)。我们提出了一种基于基础设施的框架,用于部署和验证重症监护算法。ICU 驾驶舱是重症监护医学的大数据平台,特别是用于多模式波形数据。独特之处在于,它允许算法无缝地集成到实时数据流中,以在临床实践中提供临床决策支持和预测。
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