Department of Physiological Nursing, University of California San Francisco School of Nursing, California, USA.
Department of Medicine, Division of Hospital Medicine, University of California San Francisco School of Medicine, California, USA.
J Electrocardiol. 2024 Sep-Oct;86:153777. doi: 10.1016/j.jelectrocard.2024.153777. Epub 2024 Aug 10.
Data capture systems that acquire continuous hospital-based electrocardiographic (ECG) and physiologic (vital signs) data can foster robust research (i.e., large sample sizes from consecutive patients). However, the application of these systems and the data generated are complex and requires careful human oversight to ensure that accurate and high quality data are procured. This technical article will describe two different data capture systems created by our research group designed to examine false alarms associated with alarm fatigue in nurses. The following aspects regarding these data capture systems will be discussed: (1) history of development; (2) summary of advantages, challenges, and important considerations; (3) their use in research; (4) their use in clinical care; and (5) future developments.
数据采集系统可以获取连续的医院心电图(ECG)和生理(生命体征)数据,从而促进强有力的研究(即,从连续患者中获得大量样本)。然而,这些系统的应用和生成的数据非常复杂,需要仔细的人工监督,以确保获得准确和高质量的数据。本文将描述我们的研究小组创建的两个不同的数据采集系统,旨在研究与护士报警疲劳相关的假警报。以下是这些数据采集系统的相关内容:(1)发展历史;(2)优缺点及重要注意事项总结;(3)研究中的应用;(4)临床护理中的应用;(5)未来发展。