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

Quinde M.; Mendoza M.; Criollo A.; Castillo G. · Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2022) · DOI: 10.1007/978-3-031-05431-0_22

Resumen

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.

Instituciones: Universidad de Piura