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The Context-Aware Reasoning Health Emergency (CARE) Notification System

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Distributed, Ambient and Pervasive Interactions. Smart Living, Learning, Well-being and Health, Art and Creativity (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13326))

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Abstract

Context-aware reasoning (C-AR) systems already provide users with preventive and reactive services aiding them in managing their health conditions. However, there is a gap in the services C-AR systems provide regarding the notification of health emergencies once they occur. This research aims to address this gap by proposing the Context-Aware Reasoning Emergency (CARE) notification system as a comprehensive solution allowing the personalisation of health emergency notification protocols. CARE personalised services consider several stakeholders of the occurring emergency and can adapt to their personal and health contexts. The proposal is validated following the Health IT Usability Evaluation Model and with real users with experience in dealing with health emergencies as patients and care providers. The validation results are positive and encourage further work on the subject.

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Authors and Affiliations

  1. Department of Industrial and Systems Engineering, Universidad de Piura, Piura, Peru

    Mario Quinde, Miguel Mendoza & Antonio Criollo

  2. Departamental Area of Biomedical Sciences, Universidad de Piura, Piura, Peru

    Gerardo Castillo

Authors
  1. Mario Quinde
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  2. Miguel Mendoza
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  3. Antonio Criollo
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  4. Gerardo Castillo
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Corresponding author

Correspondence to Mario Quinde .

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Editors and Affiliations

  1. Smart Future Initiative, Frankfurt am Main, Germany

    Norbert A. Streitz

  2. Kyushu University, Fukuoka, Japan

    Shin'ichi Konomi

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Quinde, M., Mendoza, M., Criollo, A., Castillo, G. (2022). The Context-Aware Reasoning Health Emergency (CARE) Notification System. In: Streitz, N.A., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. Smart Living, Learning, Well-being and Health, Art and Creativity. HCII 2022. Lecture Notes in Computer Science, vol 13326. Springer, Cham. https://doi.org/10.1007/978-3-031-05431-0_22

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  • DOI: https://doi.org/10.1007/978-3-031-05431-0_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05430-3

  • Online ISBN: 978-3-031-05431-0

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