Meisel Christian, Holtkamp Martin, Vock Simon
AG Computational Neurology, Department of Neurology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Deutschland.
Berlin Institute of Health, Berlin, Deutschland.
Nervenarzt. 2023 Jun;94(6):519-524. doi: 10.1007/s00115-022-01412-0. Epub 2022 Nov 21.
In Germany, long-term video EEG as the gold standard for the diagnostics of epilepsy and other seizure disorders, is currently only available for inpatient monitoring in a limited number of specialized centers. These limited monitoring capacities and the large amount of associated time and work resources lead to a significant waiting time for this important diagnostic procedure nationwide. New portable sensor technology and automated data analysis methods are creating opportunities for gold standard long-term video EEG assessments in outpatient settings, which may help to resolve this barrier. Here, we report the results of a single-center feasibility study by implementing outpatient long-term video EEG (ALVEEG) as a diagnostic pathway in Germany. In the new diagnostic pathway, the use of innovative, portable video EEG monitoring systems along with artificial intelligence-assisted data analysis are intended to provide those patients affected by seizure disorders with a more rapid, efficient, and cross-sectoral access to gold standard diagnostics in the home environment. The diagnostics were well accepted by patients and clinicians and may represent a complementary option to inpatient monitoring to eliminate current bottlenecks in diagnostics and care.
在德国,长期视频脑电图作为癫痫和其他发作性疾病诊断的金标准,目前仅在少数专业中心用于住院患者监测。这些有限的监测能力以及大量相关的时间和工作资源导致在全国范围内等待这一重要诊断程序的时间显著延长。新的便携式传感器技术和自动化数据分析方法为门诊环境下的金标准长期视频脑电图评估创造了机会,这可能有助于消除这一障碍。在此,我们报告一项单中心可行性研究的结果,该研究在德国将门诊长期视频脑电图(ALVEEG)作为一种诊断途径实施。在新的诊断途径中,使用创新的便携式视频脑电图监测系统以及人工智能辅助数据分析,旨在为受发作性疾病影响的患者提供更快速、高效且跨部门的在家环境中获得金标准诊断的途径。该诊断方法得到了患者和临床医生的广泛认可,可能是住院监测的一种补充选择,以消除当前诊断和护理中的瓶颈。