  Epidemic situations typically demand intensive data collection and management
from different locations/entities within a strict time constraint. Such demand
can be fulfilled by leveraging the intensive and easy deployment of the
Internet of Things (IoT) devices. The management and containment of such
situations also rely on cross-organizational and national collaboration. Thus,
this paper proposes an Intelligent-Health (I-Health) system that aims to
aggregate diverse e-health entities in a unique national healthcare system by
enabling swift, secure exchange and storage of medical data. In particular, we
design an automated patients monitoring scheme, at the edge, which enables the
prompt discovery, remote monitoring, and fast emergency response for critical
medical events, such as emerging epidemics. Furthermore, we develop a
blockchain optimization model that aims to optimize medical data sharing
between different health entities to provide effective and secure health
services. Finally, we show the effectiveness of our system, in adapting to
different critical events, while highlighting the benefits of the proposed
I-Health system.
