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It’s no longer sufficient that patients consent to use of their data. To do analytics, machine learning or artificial intelligence (AI) using health-related data, entities in healthcare delivery, payment, research, and operations must comply with new regulations.

Thankfully, BigPrivacy® preserves and even increases your ability to use health-related personal data.  

EU Health-Related Data:
GDPR Facts​
  • The GDPR imposes new restrictions on processing health-related data.
  • GDPR processing obligations and liabilities apply to both:
    • Data Controllers processing health-related personal data; and
    • Data Processors processing personal data on behalf of Data Controller customers.
  • Penalties of up to 4% of global gross revenues of health-related Data Processors, plus 4% of global gross revenues of customers of health-related Data Controller customers are possible.
  • Health-related Data Controllers and Data Processors can be liable for failures of one another to comply with processing restrictions due to GDPR joint and several liability provisions.
  • The sensitive nature of health-related data means special Data Protection Impact Assessments and prior consultations with data protection supervisory authorities are required.
  • Companies are forced to deploy unprecedented new technical measures for health-related Data Controllers and Data Processors to have a legitimate “legal�? interest in processing health-related data.
BigPrivacy Benefits​
  • BigPrivacy technology satisfies GDPR requirements for new technical measures by controlling the linkability of personal data to individual data subjects.
US Health-Related Data:
  • Data that is de-identified with BigPrivacy technology overcomes restrictions on healthcare/life science data use because it is no longer Protected Health Information (PHI).

  • BigPrivacy enabled de-identified data supports:
    • Precise data use;
    • Predictive analytics;
    • Artificial Intelligence (AI);
    • Longitudinal analysis;
    • Iterative sampling and analysis; and
    • Data breach protection beyond data at rest/in transit to also protect data in use.
  • Granular enforcement of data sharing restrictions limits data use to permitted purposes and reduces risk of PHI disclosure.
  • State-of-the-art technology controls increase accuracy and availability of data for research, obviate requirements to purge/minimize data, support informed consent and enable functional interoperability among heterogeneous data sources.

  • Click here to download this Mini-Guide

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