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Adaptive Mechanism Model for the Prevention of SLA Violation in the Context of COPD Patient Monitoring by Kouamé, Konan-Marcelin; Mcheick, Hamid; Ajami, Hicham is a Mathematics article available to read on EtoBox.

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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 incident

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Author

Kouamé, Konan-Marcelin; Mcheick, Hamid; Ajami, Hicham

Publisher

MDPI AG; Multidisciplinary Digital Publishing Institute (MDPI); Basel: Molecular Diversity Preservation International (MDPI), 2009- (ISSN 2073-8994)

Published

2020

Language

EN

Field

Mathematics (Physical Sciences)