A Fog Computing-Based Software Architecture for Patient-Centered Management of Medical Records
Fog Computing, E-Health, Internet of Things, Software Architecture, Blockchain.
The aging of the world's population and the growth in the number of people with ch-
ronic diseases have increased expenses with medical care. Thus, the use of technological
solutions, including Internet of Things-based solutions, has been widely adopted in the
medical eld to improve the patients' health. In this context, approaches based on Cloud
Computing have been used to store and process the information generated in these soluti-
ons. However, using Cloud can create delays that are intolerable for medical applications.
Thus, the Fog Computing paradigm emerged as an alternative to overcome this problem,
bringing computation and storage closer to the data sources. However, managing medical
data stored in Fog is still a challenge. Moreover, characteristics of privacy, condentiality,
and interoperability need to be considered in approaches that aim to explore this problem.
So, this work denes a Fog Computing-based software architecture designed to provide
patient-centered management of medical records. This architecture uses Blockchain tech-
nology to provide the necessary privacy features. This thesis also describes a case study
that analyzed the requirements of privacy, condentiality, and interoperability in a Home
Care scenario. Finally, the performance behavior related to access to data managed in the
proposed architecture was analyzed in the mentioned scenario.