Dicom Systems De-identifies 5.3 Million Radiology Exams, Demonstrates AI On-Ramp Feature

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Dicom Systems De-identifies 5.3 Million Radiology
Exams, Demonstrates AI On-Ramp Feature
Source www.dcmsys.com
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Heath IT leader Dicom Systems completes
large-scale, advanced de-identification of
medical imaging data for Hospital for Special
Surgery, a global leader in musculoskeletal
sciences.
Source www.dcmsys.com
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Dicom Systems, Inc. (www.dcmsys.com), a leader in
Enterprise Imaging IT, announced the completion
of a large-scale de-identification project for
Hospital for Special Surgery ("HSS") in New York,
NY, the global leader in musculoskeletal health
and the leading orthopedic hospital in the U.S.
The HSS Global Innovation Institute, which
collaborates with industry, investors, and
entrepreneurs to commercialize their portfolio of
technologies, has partnered with an AI company to
develop algorithms targeted to address the issue
of fracture misdiagnosis. De-identification
played a critical role in unlocking the
hospital's vast archive of studies. With proven
technology verified by an independent third party
auditor, Dicom Systems delivered the successful
de-identification of 5.3 million exams to HSS. 
Source www.dcmsys.com
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"We found the Dicom Systems Unifier's
de-identification capabilities to be the
enterprise-class platform we needed to tackle the
complexity of our requirements. This data pool is
already in the hands of our AI partner, with the
aim to significantly improve diagnostic accuracy
of fractures and pathologies in radiology," said
David King, Executive Director for HSS Global
Innovation Institute. "Dicom Systems is proud
to work with a world-class institution like HSS
to open up their rich pool of data for biomedical
research," said Dmitriy Tochilnik, President and
CTO of Dicom Systems. "Our customers know us for
offering valuable Enterprise Imaging tools that
solve their most immediate problems. When it
comes to AI, we offer real-world access to
innovation."
Source www.dcmsys.com
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• Clinical Data Achieved with Dicom Systems
  De-Identification
• Proprietary framework takes HIPAA Privacy Rule,
  Safe Harbor methodology compliance to a new level
  
• Full customization of de-identification processes
  and output
• Advanced pixel-level de-identification while
  avoiding corruption or truncation of the image
  file
• When deployed in conjunction with Dicom Systems
  Enterprise Imaging Unifier, leverages robust
  framework for imaging lifecycle management and
  archiving.

Source www.dcmsys.com
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"This feature comes on the heels of our
announcement to focus on the supply side of
imaging data for research, clinical trials and
deep learning. Machine learning in medical
imaging is a voracious process that requires
massive data consumption. Our flagship Unifier
platform is particularly well suited for the
task," said Florent Saint-Clair, Executive Vice
President of Dicom Systems. "We're excited to
serve as the on-ramp to AI for pioneering
clinical and research organizations who are
pushing the limits of healthcare innovation."
Source www.dcmsys.com
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De-identification is now available for direct
licensing and as an add-on to Dicom Systems
Enterprise Imaging Unifier, a platform designed
for interoperability, workflow, archiving, cloud
and AI on-ramp. A recent recipient of the Google
Cloud Partner Award for Innovative Solution for
Health Care, Dicom Systems will be presenting at
the Third Annual SIIM Conference on Machine
Intelligence in Medical Informatics (C-MIMI)
September 9-10, 2018 in San Francisco, CA.
Source www.dcmsys.com
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About Dicom Systems Dicom Systems provides
Enterprise Imaging and teleradiology workflow
solutions that simplify IT. The features-rich
Unifier platform delivers intelligent routing,
SSL-based DICOM and HL7 integration tools, DICOM
Modality Worklist, and archiving through
on-premise, private cloud and leading cloud
providers like Google Cloud. Proven at worldwide
deployments, Dicom Systems is recognized by top
healthcare enterprises, government agencies and
partners for next-generation Enterprise Imaging.
To learn more, visit www.dcmsys.com.
Source www.dcmsys.com
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For more information contact Taylur Ngo,
Marketing Manager, 415-684-8790,
200513_at_email4pr.com
Source https//www.dcmsys.com/.Information
shared above is the personal opinion of the
author and not affiliated with the website.