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Authors: Juan-Pablo Suarez-Coloma 1 ; Christine Verdier 2 and Claudia Roncancio 2

Affiliations: 1 Univ. Grenoble – Alpes and Calystene S.A., France ; 2 Univ. Grenoble – Alpes, France

Keyword(s): Alert System, Quality Metrics, Applicability Index, Confidence Index, Alert Desensitization, Fuzzy Logic.

Related Ontology Subjects/Areas/Topics: Advanced Applications of Fuzzy Logic ; Artificial Intelligence and Decision Support Systems ; Coupling and Integrating Heterogeneous Data Sources ; Databases and Information Systems Integration ; Enterprise Information Systems ; Human-Computer Interaction ; Interaction Techniques and Devices

Abstract: Numerous alert systems exist in healthcare domains but most of them produce too many false alerts leading to bad usage or disinterest. The need of better alert systems motivates the development of context-aware alert systems. The alert system Tempas is a help-decision tool based on personalized alerts. It is adaptable to business environment, target population, expert user needs, and customized in real-time for immediate needs by end users. The adaptability is defined during the alert creation process. The customization is defined during the alert management process. It is based on the population targeted, activation conditions, and the alert behavior. It is supported by two quality indices: the applicability index expresses how much a patient is concerned by the alert and the confidence index expresses how much the user can trust the alert. Both indices are used during the alert creation process (minimal thresholds for the population) and during the management process (minimal perso nalized threshold). The paper presents a summarized view of Tempas and focuses on the quality indices. (More)

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Paper citation in several formats:
Suarez-Coloma, J.; Verdier, C. and Roncancio, C. (2014). Quality Indices in Medical Alert Systems. In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS; ISBN 978-989-758-027-7; ISSN 2184-4992, SciTePress, pages 81-89. DOI: 10.5220/0004893900810089

@conference{iceis14,
author={Juan{-}Pablo Suarez{-}Coloma. and Christine Verdier. and Claudia Roncancio.},
title={Quality Indices in Medical Alert Systems},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS},
year={2014},
pages={81-89},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004893900810089},
isbn={978-989-758-027-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS
TI - Quality Indices in Medical Alert Systems
SN - 978-989-758-027-7
IS - 2184-4992
AU - Suarez-Coloma, J.
AU - Verdier, C.
AU - Roncancio, C.
PY - 2014
SP - 81
EP - 89
DO - 10.5220/0004893900810089
PB - SciTePress