Source: https://www.thinkmind.org/.Digital healthcare systems often run on heterogeneous
devices in a distributed multi-cluster environment, and
maintain their healthcare policies for managing data, securing
information flow, and controlling interactions among systems
components. As healthcare systems become more digitally distributed,
lack of integration and safe interpretation between
heterogeneous systems clusters become problematic and might
lead to healthcare policy violations. Communication overhead
and high computation consumption might impact the system
at different levels and affect the flow of information among
system clusters. This paper provides a technical viewpoint of the
challenges, opportunities, and future work in digital healthcare
systems, focusing on the mechanisms of monitoring, detecting,
and recovering healthcare policy change/update and its imprint
on information flow
