How to de-identify (almost) anything

How to de-identify (almost) anything

Approaches for multimodal data

About this webinar

As AI and analytics initiatives accelerate across health systems, so too does the urgency to safely de-identify multimodal patient data. But while structured data de-identification is well-trodden ground, health systems are now tackling the rapidly-evolving challenge of de-identifying text, images, and other emerging data types.

Join this webinar to explore how leading organizations are expanding their understanding and approaches to broadening data types to enable innovation.

In this session, you’ll learn:

  • Concepts of re-identification risk and mitigation applied across diverse data types
  • Practical approaches to de-identify unstructured data, including clinical notes and medical images.
  • Lessons from real-world customer examples of de-identification initiatives

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About this webinar

As AI and analytics initiatives accelerate across health systems, so too does the urgency to safely de-identify multimodal patient data. But while structured data de-identification is well-trodden ground, health systems are now tackling the rapidly-evolving challenge of de-identifying text, images, and other emerging data types.

Join this webinar to explore how leading organizations are expanding their understanding and approaches to broadening data types to enable innovation.

In this session, you’ll learn:

  • Concepts of re-identification risk and mitigation applied across diverse data types
  • Practical approaches to de-identify unstructured data, including clinical notes and medical images.
  • Lessons from real-world customer examples of de-identification initiatives

Presenter(s)

Brian draws on his expertise in privacy regulation and anonymization to determine what combination of Privacy Analytics’ services and software will best support the immediate and long-term needs of each of our clients. Successful implementation is Brian’s key focus, whether the client’s goal is to use sensitive data to improve service delivery, drive product development or grow revenue.

Brian Rasquinha

Associate Director, Solution Architecture, Privacy Analytics

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