Remote Monitoring of Cardiac Implantable Devices: Ontology Driven Classification of the Alerts. Rosier, A., Mabo, P., Temal, L., Van Hille, P., Dameron, O., Deleger, L., Grouin, C., Zweigenbaum, P., Jacques, J., Chazard, E., Laporte, L., Henry, C., & Burgun, A. Studies in Health Technology and Informatics, 221:59–63, 2016. abstract bibtex 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.
@article{rosier_remote_2016,
title = {Remote {Monitoring} of {Cardiac} {Implantable} {Devices}: {Ontology} {Driven} {Classification} of the {Alerts}},
volume = {221},
issn = {0926-9630},
shorttitle = {Remote {Monitoring} of {Cardiac} {Implantable} {Devices}},
abstract = {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.},
language = {eng},
journal = {Studies in Health Technology and Informatics},
author = {Rosier, Arnaud and Mabo, Philippe and Temal, Lynda and Van Hille, Pascal and Dameron, Olivier and Deleger, Louise and Grouin, Cyril and Zweigenbaum, Pierre and Jacques, Julie and Chazard, Emmanuel and Laporte, Laure and Henry, Christine and Burgun, Anita},
year = {2016},
pmid = {27071877},
keywords = {Atrial Fibrillation, Biological Ontologies, Clinical Alarms, Decision Support Systems, Clinical, Defibrillators, Implantable, Diagnosis, Computer-Assisted, Electrocardiography, Ambulatory, Electronic Health Records, Humans, Natural Language Processing, Pacemaker, Artificial, Pilot Projects, Reproducibility of Results, Sensitivity and Specificity, Telemedicine, Therapy, Computer-Assisted},
pages = {59--63},
}
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