Ultrasound data integrity needs the right tools, says Rosenfield Health

Medical technology company Rosenfield Health believes equipping PACS managers and radiologists with the tools to ensure ultrasound data integrity will help overcome the frustration of dealing with incorrect patient data or time-consuming anonymisation processes. Rosenfield says it has seen the way that equipping teams with the right software can completely change the tone of data management. With its BriX solution, departments can bulk-anonymise thousands of ultrasound studies with a few clicks, while iCode US Anonymiser helps quickly repair or reprocess ultrasound data without manual editing.
“But the bigger story isn’t the software,” the company says. “It’s the shift in mindset; by improving systems, trusts can remove friction from workflows, protect staff morale and reduce burnout. When a radiologist accidentally attaches the wrong patient ID or a PACS manager faces backlogs in anonymising studies, the instinct within many organisations is to point fingers. Yet in most cases, the root cause is not negligence, it is inadequate tools.” In many departments, fixing a simple ultrasound data error can consume hours, it says. Each correction often means re-exporting studies, repeating anonymisation and manually verifying metadata across multiple platforms.
“The industry’s response to these challenges must evolve. Instead of punishing errors with more time, we should enable corrections with better systems,” Rosenfield adds. “Leadership in radiology must recognise that accuracy and empathy go hand in hand. Errors should not be met with frustration but with the question: do our systems make it easy to do the right thing?”
Unlike CT or MRI, ultrasound data often includes embedded patient information within pixel data, meaning anonymisation must go beyond the headers. Manual editing of these images can be time consuming and prone to inconsistency. Bulk anonymisation tools such as BriX and targeted solutions like iCode US Anonymiser are designed to simplify this process. They enable PACS teams to correct data quickly without reprocessing entire studies; remove header and pixel-level identifiers automatically; process multiple cases simultaneously with consistent anonymisation profiles; and eliminate repetitive manual steps.
Picture: Rosenfield Health’s solutions quickly repair or reprocess ultrasound data without manual editing.
Read this report on page 14 of the November 2025 issue of RAD Magazine.


