Suppr超能文献

医疗设备连接挑战概述了在神经重症监护中促进大数据研究和个性化医疗的技术要求和标准。

Medical Device Connectivity Challenges Outline the Technical Requirements and Standards For Promoting Big Data Research and Personalized Medicine in Neurocritical Care.

作者信息

Rodriguez Anna, Smielewski Peter, Rosenthal Eric, Moberg Dick

机构信息

Moberg Research, Inc., 224 South Maple Street, Ambler, PA 19002.

Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Hills Road, Cambridge, CB2 0QQ, UK.

出版信息

Mil Med. 2018 Mar 1;183(suppl_1):99-104. doi: 10.1093/milmed/usx146.

Abstract

Brain injuries are complicated medical problems and their management requires data from disparate sources to extract actionable information. In neurocritical care, interoperability is lacking despite the perceived benefits. Several efforts have been underway, but none have been widely adopted, underscoring the difficulty of achieving this goal. We have identified the current pain points of data collection and integration based on the experience with two large multi-site clinical studies: Transforming Research And Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) in the United States and Collaborative European Neuro Trauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) in Europe. The variability of measurements across sites remains a barrier to uniform data collection. We found a need for annotation standards and for a standardized archive format for high-resolution data. Overall, the hidden cost for successful data collection was initially underestimated.Although the use of bedside data integration solutions, such as the Moberg's Component Neuromonitoring System (Moberg Research, Inc., Ambler, PA, USA) or ICM+ software (Cambridge Enterprise, Cambridge, UK), facilitated the homogenous collection of synchronized data, there remain issues that need to be addressed by the neurocritical care community. To this end, we have organized a Working Group on Neurocritical Care Informatics, whose next step is to create an overarching informatics framework that takes advantage of the collected information to answer scientific questions and to accelerate the translation of trial results to actions benefitting military medicine.

摘要

脑损伤是复杂的医学问题,其管理需要来自不同来源的数据以提取可操作的信息。在神经重症监护领域,尽管人们意识到了互操作性的好处,但目前仍缺乏互操作性。已经开展了多项努力,但均未得到广泛采用,这凸显了实现这一目标的难度。基于两项大型多中心临床研究的经验,即美国的“创伤性脑损伤转化研究与临床知识”(TRACK-TBI)和欧洲的“创伤性脑损伤欧洲协作神经创伤有效性研究”(CENTER-TBI),我们确定了当前数据收集和整合中的痛点。各研究点测量方法的差异仍然是统一数据收集的障碍。我们发现需要注释标准和用于高分辨率数据的标准化存档格式。总体而言,成功进行数据收集的隐性成本最初被低估了。尽管使用床边数据集成解决方案,如莫伯格组件神经监测系统(美国宾夕法尼亚州安布勒市莫伯格研究公司)或ICM+软件(英国剑桥市剑桥企业公司),有助于同步数据的同质化收集,但仍有一些问题需要神经重症监护领域加以解决。为此,我们组织了一个神经重症监护信息学工作组,其下一步是创建一个总体信息学框架,利用所收集的信息来回答科学问题,并加速将试验结果转化为有益于军事医学的行动。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验