Dicom Systems, Inc., 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, 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.
Clinical Data Achieved with Dicom Systems De-Identification
– The 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 a robust framework for imaging lifecycle management and archiving.
“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.”
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.
