Healthcare Data Anonymization
Unlock the value of your healthcare data for research, analytics, and AI/ML — without compromising patient privacy. We implement HIPAA-compliant de-identification using Safe Harbor and Expert Determination methods, generating datasets that preserve clinical utility while eliminating re-identification risk.
Standards & Methods We Apply
What We Deliver
HIPAA Safe Harbor De-identification
Remove all 18 HIPAA-specified PHI identifiers from structured and unstructured data — dates, names, locations, device IDs, and more.
Expert Determination Method
Statistical de-identification using Expert Determination — applying risk analysis to certify datasets meet HIPAA re-identification thresholds.
Unstructured Text De-identification
NLP-based extraction and masking of PHI from clinical notes, discharge summaries, radiology reports, and other free-text documents.
FHIR Data De-identification
De-identify FHIR R4 resources — Patient, Observation, Condition, and Encounter — while maintaining referential integrity for research use.
Synthetic Data Generation
Generate clinically realistic synthetic datasets that preserve statistical properties of real patient populations without any actual PHI.
AI/ML Dataset Preparation
Prepare de-identified, structured healthcare datasets for machine learning model training — formatted for common ML frameworks and platforms.
Ready to De-identify Your Healthcare Data?
Our data anonymization experts are ready to help. Free consultation, no obligation.