from
the 19 eighties through the late 19 nineties.
First generation digital imaging
systems ran on local on
premise computers that supported a database
and picture archiving and communication
system packs, including
a viewer
deploying upgrades or new versions
were major endeavors that required extensive
downtime. As a result, upgrades
were infrequent. Any changes
that were made relied on sequential
and increasingly unstable additions
to existing code systems were
seldom re engineered from the ground
up. Beginning in the late 2000s,
many imaging technologies migrated
to hosted or virtual machines
operated from local servers or
remote data centers.
The underlying technology remained
largely unchanged however, and
upgrades still required add on code
and often lengthy service interruptions.
Imaging systems began moving
to the cloud in the mid 2000 tens.
But once again, most core technologies
were not modified and the same
constraints that had existed since the 1990s
remained
this process of transferring outdated
legacy systems designed for on
premise deployment to cloud platforms
became known as lift and shift
today. End and imaging
solutions are emerging that are purpose
built for the cloud using cloud native
architecture. These applications
rely on all new architecture that
is designed to support the automatic delivery
of new versions and upgrades
with zero downtime and no mandatory
customer maintenance along with rapid
disruption free upgrades. Key
benefits of cloud native architecture
include
enhanced stability and scalability,
far simpler management, greater
security for patient data and
reduced cost of operation
