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Adaptive mechanism model for the prevention of SLA violation in the context of COPD patient monitoring

Kouamé Konan-Marcelin, Mcheick Hamid et Ajami Hicham. (2020). Adaptive mechanism model for the prevention of SLA violation in the context of COPD patient monitoring. Symmetry, 12, (9), p. 1575.

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URL officielle: http://dx.doi.org/doi:10.3390/sym12091575

Résumé

In this paper, we introduce a new kind of Service Level Agreement(SLA) Template to better control dynamically quality of medical monitoring platform service. Our approach is based on Health care system and Health Information Technology (HIT) research area, specifically the field of telemonitoring system for patients who suffer from chronic obstructive pulmonary disease (COPD). According to WHO statistics, COPD is the third leading cause of death worldwide. To this end, several solutions or platforms exist today to monitor COPD. Most of these platforms manage large volume of patient data. This can bring about quality and lost data problems. To address these issues, control mechanisms must be proposed and designed to improve the quality of service (QoS) on these platforms. A platform with continuously monitored QoS can save patients’ lives and reduce data quality risk. In this article, we propose an ontology that uses SLAs data from COPD monitoring platforms with dynamic data from a patient context. We dynamically calculate the number of patient data incidents and the number of service request incidents from two dynamic contexts: SLA and the patient context. If the number of incidents is higher than what is expected in the SLA, then alerts are sent to the interface parties in real time. Finally, the contribution of this article is the proposed virtual SLA template to better control SLA violation and improve quality of medical monitoring platforms services.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:2073-8994
Volume:12
Numéro:9
Pages:p. 1575
Version évaluée par les pairs:Oui
Date:2020
Identifiant unique:10.3390/sym12091575
Sujets:Sciences naturelles et génie > Sciences mathématiques > Informatique
Sciences de la santé > Sciences médicales > Pneumologie
Département, module, service et unité de recherche:Départements et modules > Département d'informatique et de mathématique
Mots-clés:health care system, adaptation, SLA, violation, adaptive SLA template, ontology, context-aware, virtual, dynamic adaptation, context-aware application
Déposé le:04 nov. 2020 21:54
Dernière modification:04 nov. 2020 21:54
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