Abstract: In recent years, we have witnessed an increase
in interconnected devices which collect and process data,
and are used in a plethora of situations, giving rise to the
Internet of Things (IoT). The measurements collected from
these sensing devices - which in general may come from
different manufacturers - must be aggregated, formatted,
and processed together in order to provide integrated data
management, and still presents a challenge to academia and
industry alike. One of the critical applications of IoT is
in healthcare management, where a strong motivation in
government regulation should exist to secure protected health
data transmission. A promising solution is integrating IoT
with the still novel Blockchain technology, which is based
on overcoming the lack of trust with its immutability and
transparency properties.
In this paper, we analyze state-of-the-art healthcarerelated Blockchain solutions with IoT (scientific papers,
startup whitepapers, and readily available commercial solutions), identifying their similarities and differences, as
well as possible bottlenecks. We hence provide an extended
Blockchain/IoT healthcare model, based on multiple usecases which incorporates previously identified shortcomings,
in order to build a basis for a trusted, reliable and secure
Blockchain- and IoT-based healthcare system