Use Case

Healthcare

Healthcare providers, insurers, and digital health platforms manage large volumes of sensitive patient data — including EHRs, clinical reports, transcripts, and messages. This data is vital for care, research, and innovation, but must meet strict privacy standards like GDPR and HIPAA.

Intelation enables healthcare teams to anonymize patient data without sacrificing compliance or utility. Using advanced NLP and entity recognition, our system identifies and anonymizes personal identifiers in both structured and unstructured formats.

Compliance & Data Sharing

• Redact PHI in clinical summaries, discharge reports, or disclosures
• Mask sensitive data for third-party vendor collaboration
• Anonymize voice transcripts from telehealth sessions for archiving

AI & Research Enablement

• Encrypt patient identifiers in radiology, pathology, or diagnostic data
• Prepare anonymized datasets for AI model training
• Enable cross-border clinical trial sharing with privacy-preserved data

Automation with API

• Automate real-time anonymization of chatbot and intake system data
• Integrate anonymization into EMRs and workflow pipelines
• Maintain full audit logs for traceability and compliance reviews