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De-Identification

Dicom Systems offers a proven and scalable de-identification toolset that unlocks valuable imaging studies for areas such as research, policy assessment, and comparative effectiveness studies. Consumption of high quality data by deep learning applications is an essential contribution to better machine learning algorithms, unleashing tremendous potential for AI solutions that benefit patient care.

 

On-Ramp to AI and Machine Learning Innovation

 

Dicom Systems offers a proven and scalable de-identification toolset that unlocks valuable imaging studies for areas such as research, policy assessment, and comparative effectiveness studies. Consumption of high-quality data by deep learning applications is an essential contribution to better machine learning algorithms, unleashing the tremendous potential for AI solutions that benefit patient care.

Benefits

Secure

Adherence to HIPAA Safe Harbor audited by third party

Customizable

Full customization of processes and output

Scalable

Robust enough for large-scale de-identification, no impact on clinical workflow

By 2020, imaging studies in the U.S. alone will account for 2.4 exabytes of data (source: IDC), presenting a unique opportunity for biomedical researchers to uncover the next healthcare breakthrough. Safe Harbor methodology requires 18 PHI identifiers to be masked or removed—making data preparation a complex undertaking. To combat these vulnerabilities, biomedical studies must be de-identified in such a way that it can still be of value to researchers without revealing patient identity. Dicom Systems offers a proven and scalable de-identification toolset that unlocks valuable imaging studies for areas such as research, policy assessment, and comparative effectiveness studies.

De-Identification Benefits & Features

 

  • The proprietary framework takes HIPAA Privacy Rule, Safe Harbor methodology compliance to a new level 
  • Supports full DICOM and HL7 interoperability with all compliant devices
  • Best price-to-performance technology trusted by top healthcare enterprises, government agencies, and imaging partners
  • When deployed in conjunction with Dicom Systems Enterprise Imaging Unifier VNA, leverages robust framework for imaging lifecycle management and archiving
  • Capacity to implement complete de-identification framework from data preparation and migration to building a data lake 
  • Bi-directional dynamic tag morphing makes changes on input and output
  • Advanced pixel-level de-identification while avoiding accidental corruption or truncation of the image file
  • Complex DICOM tag substitutions, removals or morphing are automated by designing transformations into LUA script
  • Full customization of de-identification processes and output

Images and data are received and translated into a standardized format that can then be transferred to or accessed by your referring physicians, your radiologists, your RIS, or to any radiology workstation, regardless of its physical location.

Dicom Systems’ Unifier Archive is a cost-effective VNA solution that not only solves your archiving challenges, it provides you with the support you need to maintain the workflow that is crucial to your daily operations.

“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 the diagnostic accuracy of fractures and pathologies in radiology.” 

David King
Executive Director at HSS Global Innovation Institute

“In the emergency setting, speed is essential and Dicom Systems helps us deliver results at much higher speeds with near-zero downtimes.”

Gautam Agrawal
Vision Radiology

“Without Dicom Systems, we would need an army of vendor support and analysts.”

Trevor Walker
Principal Systems Analyst at Stanford Health Care

“The Unifier platform has enabled SCPMG to easily manage a large number of DICOM routers. We can maximize functionality and update the business logic of over 2,500 modalities in our network.”

Bruce W. Hoel
Imaging Solutions Architect at SCPMG

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