Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
To protect sensitive information, including personally identifiable information (PII), organizations must implement techniques such as pseudonymization and anonymization for secondary purposes like comparative effectiveness studies, policy evaluations, and research in life sciences. This process is essential as businesses amass vast quantities of data to detect patterns, understand customer behavior, and foster innovation. Compliance with regulations like HIPAA and GDPR mandates the de-identification of data; however, the difficulty lies in the fact that many de-identification tools prioritize the removal of personal identifiers, often complicating subsequent data usage. By transforming PII into forms that cannot be traced back to individuals, employing data anonymization and pseudonymization strategies becomes crucial for maintaining privacy while enabling robust analysis. Effectively utilizing these methods allows for the examination of extensive datasets without infringing on privacy laws, ensuring that insights can be gathered responsibly. Selecting appropriate de-identification techniques and privacy models from a wide range of data security and statistical practices is key to achieving effective data usage.
Description
dcmage serves as a complimentary DICOM workbench designed for the modification of metadata, the de-identification of studies, and the examination of volumetric data. Compatible with both native Mac applications and web browsers, it processes DICOM studies directly on your local machine, ensuring data privacy and efficiency.
The tag editor feature allows users to search for any DICOM tag by its number, keyword, or value, encompassing nested sequences and private tags, while inline checks promptly identify any invalid value representations. Any edits made are saved to a new file, leaving the original data intact and unaltered.
For de-identification, dcmage applies DICOM PS3.15 profiles, including HIPAA Safe Harbor guidelines, and enables the implementation of custom rules, ensuring consistent UID remapping across multiple studies. Additionally, its on-device OCR functionality identifies text embedded in images, allowing users to review and black out sensitive information as needed.
The viewer offers multiple perspectives, including axial, sagittal, and coronal MPR, all with synchronized crosshairs and tools for adjusting window/level, zooming in, and taking measurements.
An audit trail feature meticulously logs every edit, anonymization, and export using a SHA-256 hash-chained system, which can be exported for record-keeping purposes, making it easy to track changes.
dcmage is tailored for research, data management, and technical evaluations, emphasizing its role as a powerful tool rather than a medical device. It empowers researchers and professionals to handle DICOM data with enhanced control and security.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Fasoo
Country
United States
Website
en.fasoo.com/products/analyticdid/
Vendor Details
Company Name
dcmage
Website
dcmage.com