The Privacy Layer for Pharmaceutical & Contract Research Organizations

Data minimization is a key requirement of multiple standards and regulations, including HIPAA Safe Harbor and HIPAA Expert Determination requirements, and Article 5.1 of the GDPR states that “Personal data shall be: adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed (‘data minimisation’).

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Satisfying the requirements of these regulations requires highly accurate and efficient PII detection across terabytes, if not petabytes, of structured data with free text fields, which include doctor’s notes, clinical trials data, patient charts, DICOM images, and other medical information used for research, is particularly complex to handle: OCR errors, multilingual and multinational information, ASR transcription errors, conversational disfluencies, and a multitude of unexpected document formats all have to be addressed.

Generative AI has the potential to transform the insurance industry, but data privacy is a key concern when using these systems. It even prevents carriers from pushing the POCs into production after they have spent several hundreds of thousands, if not millions, of dollars on them.

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Private AI has been a leading data de-identification provider to the conversational AI industry for several years. It is specially optimized for chatbots and conversational data across 53 languages.

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Private AI also increases the effectiveness and speed of data science and AI projects by quickly unlocking access to internal data sources as a PII firewall for any data going into data science teams. Examples of such data are claim forms, where PII includes names, addresses, and contact details.

The Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule sets a national standard in the US for the protection of individuals’ medical records and other protected health information (PHI). The HIPAA Privacy Rule allows for health information to be de-identified using two methods: the Safe Harbor method, which requires the removal of certain specified identifiers, and the Expert Determination method, where a qualified expert applies statistical or scientific principles to determine whether the risk is “very low” that the information could be used, alone or in combination with other reasonably available information, by an anticipated recipient to identify an individual.

Private AI can help organizations with both HIPAA Safe Harbor and HIPAA Expert Determination requirements.