Cloud Medical Imaging

Live Web Radiology Imaging and Sharing Ready for EHR Integration

Challenge

Our client wanted to create an
“UBER” for radiologists, that would
radically cut the cost of radiology
imaging by completely bypassing
the expensive hardware component
and allowing better interoperability
between devices. We had to design
and implement a tool that will enable
authenticated radiologists to access,
manipulate and make diagnoses
from images created by our clients
beamformer application. In short,
for medical professionals to have
full functionality of the radiology
imagingdeviceona“tablet”. This meant
we needed to build a web component
on a cloud that allows remote access to
the radiology machine.
Since we had to migrate and mimic
the component from hardware to the
cloud, we had to first map out all the
processes and functionalities of the
solution, as well as keep it secure and
interoperable.

Solution

The solution will enable the Imageas-a-Service feature for radiologists,
allowing them to independently
work on studies created and shared
by sonographers. Since the client’s
sonographer stores raw data
generated by the probe, the radiologist
will be able to use the tool to change
the beamforming parameters and
generate new raw image data. After
reviewing the data from the study, the
radiologist would be able to make a
diagnosis, annotate the images and
save the data in DICOM format on
Google Cloud Storage.
We had to come up with a lot of
workarounds in order to deploy a
solution that was compatible and
optimized for both android and iOS
devices. The solution is interoperable
and HIPAA compliant with a potential
to be integrated into EHRs.

benefits

Our client’s goal was to cut costs and
allow a more affordable solution for
medical imaging and sharing. In the
future, this solution will speed up
the diagnostic process and allow
radiologists to better manage their
time with patients.
Our client’s goal was to cut costs and
allow a more affordable solution for
medical imaging and sharing. In the
future, this solution will speed up
the diagnostic process and allow
radiologists to better manage their
time with patients.