loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

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

ISBN: 978-989-758-027-7

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 person alized threshold). The paper presents a summarized view of Tempas and focuses on the quality indices. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.231.228.109

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 1: ICEIS, ISBN 978-989-758-027-7, 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 1: ICEIS,},
year={2014},
pages={81-89},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004893900810089},
isbn={978-989-758-027-7},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Quality Indices in Medical Alert Systems
SN - 978-989-758-027-7
AU - Suarez-Coloma, J.
AU - Verdier, C.
AU - Roncancio, C.
PY - 2014
SP - 81
EP - 89
DO - 10.5220/0004893900810089

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.