Leading healthcare provider works with iMerit to de-identify and clean burn-in on 20,000 ultrasound videos through automation and human-in-the-loop verification for healthcare AI applications.
“Data sharing in healthcare is a constant challenge. With iMerit, we found a unique solution.”
– Head of Imaging
Problem
To utilize their ultrasound scans, this top healthcare provider network needed an automated
de-identification solution that would remove all personally identifiable patient data.
Solution
iMerit implemented a customized de-identification process tailored to the specific types of ultrasound videos used by the healthcare provider.
Results
The de-identified dataset became a valuable resource for developing and training AI/ML models, leading to innovations in disease diagnosis, treatment planning, and patient care.
BOTTOM LINE IMPACT
20k
Radiology Scans De-identified
HIPPA
Compliance Achieved
Greater
Data Utilization
