Rosier Arnaud, Mabo Philippe, Temal Lynda, Van Hille Pascal, Dameron Olivier, Deleger Louise, Grouin Cyril, Zweigenbaum Pierre, Jacques Julie, Chazard Emmanuel, Laporte Laure, Henry Christine, Burgun Anita
INSERM CIC-IT 804, CHU Pontchaillou, Rennes, France.
LTSI (Inserm UMR1099), Université de Rennes 1, Rennes, France.
Stud Health Technol Inform. 2016;221:59-63.
The number of patients that benefit from remote monitoring of cardiac implantable electronic devices, such as pacemakers and defibrillators, is growing rapidly. Consequently, the huge number of alerts that are generated and transmitted to the physicians represents a challenge to handle. We have developed a system based on a formal ontology that integrates the alert information and the patient data extracted from the electronic health record in order to better classify the importance of alerts. A pilot study was conducted on atrial fibrillation alerts. We show some examples of alert processing. The results suggest that this approach has the potential to significantly reduce the alert burden in telecardiology. The methods may be extended to other types of connected devices.
受益于心脏植入式电子设备（如起搏器和除颤器）远程监测的患者数量正在迅速增长。因此，生成并传输给医生的大量警报成为了一项处理挑战。我们基于形式本体开发了一个系统，该系统整合了警报信息和从电子健康记录中提取的患者数据，以便更好地对警报的重要性进行分类。针对房颤警报进行了一项试点研究。我们展示了一些警报处理的示例。结果表明，这种方法有可能显著减轻远程心脏病学中的警报负担。这些方法可能会扩展到其他类型的连接设备。
