cris.boxmetadata.label.title
The Context-Aware Reasoning Health Emergency (CARE) Notification System
cris.boxmetadata.label.dateissued
01 browse.startsWith.months.january 2022
cris.boxmetadata.label.accesslevel
metadata only access
cris.boxmetadata.label.resourcetype
conference paper
cris.boxmetadata.label.authors
QUINDE LI SAY TAN, MARIO JOSE
Mendoza M.
Criollo A.
Castillo G.
cris.boxmetadata.label.publisher
Springer Science and Business Media Deutschland GmbH
cris.boxmetadata.label.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.
cris.boxmetadata.label.citationstartpage
320
cris.boxmetadata.label.citationendpage
335
cris.boxmetadata.label.volume
13326 LNCS
cris.boxmetadata.label.language
English
cris.boxmetadata.label.ocdeknowledgeArea
Ingeniería de sistemas y comunicaciones
Políticas de salud, Servicios de salud
cris.boxmetadata.label.subjects
cris.boxmetadata.label.doi
cris.boxmetadata.label.scopusidentifier
2-s2.0-85133028486
cris.boxmetadata.label.source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
cris.boxmetadata.label.partofresource
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
cris.boxmetadata.label.containerissn
03029743
cris.boxmetadata.label.containerisbn
978-303105430-3
cris.boxmetadata.label.conference
10th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2022 Held as Part of the 24th HCI International Conference, HCII 2022
peru-layout.shadow-copies
Directorio de Producción Científica
Scopus