Data De-Identification

Expert Determined HIPAA De-Identification engine for anonymizing PHI and PII for clients, enabling secure data insights

Secure Data Processes

We implement robust security protocols to ensure the confidentiality and integrity of your data throughout its lifecycle.

Batch De-Identification

Our system can efficiently de-identifies millions of records in bulk, safeguarding individual privacy while maintaining data utility.

Expert Determined

Utilizing the Expert Determination method, we apply statistical and scientific principles to minimize re-identification risk, ensuring compliance with HIPAA standards.

Safe Harbor

We adhere to the Safe Harbor method by removing 18 specific identifiers from datasets, rendering the information non-identifiable and compliant with HIPAA regulations.

How we help

Ensuring your sensitive information is protected and optimized for analysis.

HIPAA Compliant

We adhere to the stringent standards set by the Health Insurance Portability and Accountability Act (HIPAA), ensuring that all our data handling processes protect patient privacy and maintain the confidentiality of health information.

Healthcare Information Protection

Our comprehensive security measures safeguard sensitive healthcare data against unauthorized access, breaches, and other potential threats, maintaining the integrity and confidentiality of patient information.

File Deidentification

We specialize in removing personally identifiable information from various file types, ensuring that data can be utilized for research and analysis without compromising individual privacy.

Anonymized Analytics

Our advanced analytics solutions process de-identified data to provide valuable insights, enabling organizations to make informed decisions while fully complying with privacy regulations.

Information we protect for clients

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Expert Determined De-Identification

The Expert Determination method is a HIPAA-compliant de-identification process where a qualified expert applies statistical and scientific principles to assess and minimize the risk of re-identifying individuals from health information. This method ensures that the likelihood of identification is very small, allowing organizations to use and share data responsibly while protecting individual privacy.