We offer the most complete and scalable solution for privacy enhancing computation, enabling companies to safely provide and consume extremely sensitive data and algorithms with TripleBlind – the most private and secure set of data tools that has ever existed.
With our privacy enhancing technology, personal health information (PHI) can be used without violating HIPAA or any global data privacy regulations.
THE CHALLENGE TODAY
Healthcare data sharing is difficult for a number of reasons – regulatory restrictions (HIPAA, FDA, data residency, GDPR), risk of abuse, and hefty fines for misuses.
Risks and restrictions have dramatically slowed the use of AI in Healthcare.
Healthcare Facility manually anonymizes patient data.
Compliance and data scientist time cost in excess of $1.5M.
Anonymization leads to a reduction in utility of patient data.
Research Institute uses anonymized data from Healthcare Facilities.
HIPAA regulations insist that data receivers cannot re-identify the patient.
The FDA insists that algorithms pass rigorous, verifiable clinical trial tests.
Healthcare data is extremely broad – images, text, voice, etc.
Current approaches to HIPAA compliance require anonymization, reducing value
Personal health information (PHI) is the gold standard of highly sensitive data
Aggregation of training data from various providersis expensive
Requires data to be normalized from various kinds of sensors
Existing solutions are not HIPAA compliant and require good-faith adherence to BAA
TRIPLEBLIND ELIMINATES ANONYMIZATION
TripleBlind one-way encrypts (and never decrypts) data and allows only approved operations to be executed.
Ready to learn how privacy enhancing computation changes the game in healthcare data?
With TripleBlind, no raw data leaves the healthcare facility firewall
Data is de-identified, one-way transformed, and processed via the API
All data can be used without risk of re-identification
De-Identified
One-way Encrypted
Never Decrypted
Only accessible via the API
Usage of all data without the risk of re-identification
No exposure of any raw health data but usage of the real data for training
Generalizing your algorithms on varied datasets to reduce bias
Normalization & feature engineering data without breaking privacy
All this with no hardware dependencies or ever moving data outside the firewall
READY TODAY
TripleBlind eliminates the expensive manual data anonymization step required when using other healthcare data sharing solutions, while enforcing regulatory compliance for all kinds of healthcare data.
Privacy enhancing computation with TripleBlind reduces the risk on both sides – healthcare providers never provide raw data and partners never provide raw algorithms. All operations are available to data scientists without the risks of working with raw patient data.
For more detail on medical data sharing and other use cases, download our healthcare whitepaper!
Interested in learning how collecting and sharing data in healthcare is possible with TripleBlind? Book a demo.