UNASSIGNED: To provide an overview of challenges facing implementation of sophisticated ICP models and analyses at the patient bedside.
UNASSIGNED: A narrative review of the barriers facing implementation of sophisticated ICP models and analyses at the patient bedside in a neurocritical care unit combined with a descriptive case study (the CHART-ADAPT project) on the topic.
UNASSIGNED: Key barriers found were technical, analytical, and integrity related. Examples included: lack of interoperability of medical devices for data collection and/or model deployment; inadequate infrastructure, hindering analysis of large volumes of high frequency patient data; a lack of clinical confidence in a model; and ethical, trust, security and patient confidentiality considerations governing the secondary use of patient data.
UNASSIGNED: To realise the benefits of ICP data analysis, the results need to be promptly delivered and meaningfully communicated. Multiple barriers to implementation remain and solutions which address real-world challenges are required.
■概述在患者床边实施复杂的ICP模型和分析所面临的挑战。
对神经重症监护病房患者床边实施复杂ICP模型和分析所面临的障碍进行叙述性回顾,并结合该主题的描述性案例研究(CHART-ADAPT项目)。
■发现的主要障碍是技术性的,分析,和诚信相关。例子包括:数据收集和/或模型部署的医疗设备缺乏互操作性;基础设施不足,阻碍了对大量高频患者数据的分析;对模型缺乏临床信心;以及道德,信任,管理二次使用患者数据的安全性和患者机密性考虑。
■为了实现ICP数据分析的好处,结果需要迅速交付并有意义地传达。实施仍然存在多种障碍,需要解决现实世界挑战的解决方案。