PRIX: powering PACS managers and AI with bulk anonymisation

We are in an era where AI is rapidly transforming healthcare, particularly in diagnostic imaging, where machine learning models assist radiologists in detecting diseases faster and more accurately. The UK’s new National Data Library, as reported by BBC News, will provide AI models with access to anonymised NHS health data. However, AI’s full potential depends on access to large, high-quality datasets—making bulk anonymisation a crucial enabler of AI adoption.

Manual anonymisation methods is a barrier to AI

To train AI models efficiently, large amounts of imaging data must be anonymised to remove patient identifiers without compromising image integrity. Yet, traditional anonymisation methods are slow, and fault ridden. A single mistake can lead to data breaches, compromising patient confidentiality and violating global regulations such as the HIPAA and GDPR.

For PACS managers, it’s a time-consuming manual process to anonymise thousands of DICOM images while adhering to these data privacy regulations. Without automation, preparing a dataset for AI training and validation can take weeks—hindering progress and innovation in radiology.

PRIX: a fast, automated, secure solution

PRIX, Rosenfield Health’s bulk anonymisation tool, steps in to bridge this critical gap by automating the entire process. Co-developed with PACS managers, PRIX reduces anonymisation time from hours to seconds, transforming it into an effortless, high-speed operation.

“Before PRIX, anonymising a single study took up to ten minutes —slowing down our workflow. With PRIX, it now takes seconds,” says Dr Phillip Wardle, director at National Imaging Academy Wales (NIAW). “In just one week, we anonymised 6,000 plain film studies—something that would have been nearly impossible with traditional methods.”’

Key benefits of PRIX

PRIX delivers measurable efficiency gains, allowing PACS managers to focus on core tasks rather than administrative burdens:

Saves time: What once took weeks now takes hours. PRIX anonymises 100 x-ray images in just four minutes and 100 CT images in 16 minutes.
Reduces PACS workload: Eliminates tedious manual anonymisation, freeing up radiology teams for higher-value work.
Ensures compliance: Meets GDPR, and HIPAA standards, protecting patient privacy while enabling AI-driven research.
Enhances AI training: Provides high-quality, anonymised datasets essential for accurate AI model development.

An essential tool for the future of AI-driven radiology

With AI playing an increasingly central role in healthcare, ensuring seamless high-volume anonymisation. PRIX is redefining efficiency for PACS managers, streamlining AI data preparation, and accelerating medical research. By combining automation with compliance, PRIX enables hospitals, research institutions, and AI developers to unlock the full potential of medical imaging without compromising security or efficiency.

Discover how PRIX can revolutionise your anonymisation workflow today.

This news story has been sponsored by the companies concerned and does not represent the views or opinions of RAD Magazine.