Solving Privacy and Security Challenges in Healthcare Data Collaboration

Jason Brenner is the RVP of Healthcare & Lifesciences at LiveRamp and has been working in the advertising and ad tech industries for over 20 years. He is leading efforts on building data connectivity solutions for the healthcare and life sciences industries. Prior to LiveRamp, Jason has held leadership positions at Placed, Verve, PayPal, Time Inc., The New York Times, and Condé Nast.

In this episode…

Companies in industries like healthcare and life sciences are leveraging data collaboration to collect valuable insights to drive innovation and improve customer experiences. However, for many organizations, balancing data collaboration with privacy, security, and regulatory compliance obligations remains a significant challenge. With consumer trust at stake, and the risks of improper data handling, how can companies balance innovation with responsible data use?

Data collaboration in healthcare presents both opportunities and challenges. Companies need to adopt privacy-by-design principles and engage legal and privacy teams early in the process. By implementing techniques such as data tokenization and de-identification, businesses can extract valuable insights while minimizing privacy and security risks. That's why companies like LiveRamp are making this process easier with a platform that transforms personally identifiable information into non-reversible tokens, allowing organizations to use data responsibly while minimizing privacy and security risks.

In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels speak with Jason Brenner, RVP of Healthcare and Life Sciences at LiveRamp, about the critical role of privacy and security in data collaboration. Jason shares insights on how organizations are navigating a complex and fragmented regulatory landscape, the importance of adopting privacy-by-design principles, and engaging legal and privacy teams early in the process. He also shares how businesses can minimize data retention risks, the role of de-identification and tokenization in protecting sensitive information, and the importance of building customer trust through responsible data practices.