Remote Monitoring of Cardiac Implantable Devices: Ontology Driven Classification of the Alerts

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
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Article dans une revue
Studies in Health Technology and Informatics, IOS Press, 2016, 221, pp.59--63. 〈10.3233/978-1-61499-633-0-59〉
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01319949
Contributeur : Laurent Jonchère <>
Soumis le : lundi 23 mai 2016 - 11:47:05
Dernière modification le : mardi 31 octobre 2017 - 12:44:03

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Arnaud Rosier, Philippe Mabo, Lynda Temal, Pascal Van Hille, Olivier Dameron, et al.. Remote Monitoring of Cardiac Implantable Devices: Ontology Driven Classification of the Alerts. Studies in Health Technology and Informatics, IOS Press, 2016, 221, pp.59--63. 〈10.3233/978-1-61499-633-0-59〉. 〈hal-01319949〉

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