E179: Beyond Anonymization: Why Traditional Privacy Isn't Enough for AI Healthcare

AI For Pharma Growth

In this eye-opening episode, we sit down with Julia Komissarchik, CEO and Co-Founder of Glendor Inc., to explore the rapidly evolving intersection of AI in healthcare, medical data privacy, and patient data protection. With AI transforming clinical decision-making, diagnostics, and health research, traditional privacy approaches like de-identification are no longer sufficient.

Julia, a seasoned expert in AI and a multi-patent holder, explains why anonymised health data is still vulnerable to re-identification by AI models, and how privacy-preserving technologies like federated learning, differential privacy, homomorphic encryption, and secure multi-party computation can help.

She discusses real-world breaches, regulatory challenges with HIPAA and GDPR, and the importance of patient consent and ethical AI governance. This episode is a must-listen for AI researchers, health tech entrepreneurs, data scientists, hospital CIOs, privacy advocates, and anyone navigating the future of AI-powered healthcare.

Key Topics Covered:

• Why traditional anonymisation methods are failing in the age of AI-driven healthcare
• How AI models can re-identify patients using "innocuous" data like medication patterns and X-ray imagery
• The risks and limitations of synthetic data in clinical AI development
• The critical role of federated learning, differential privacy, and homomorphic encryption
• Why current HIPAA and GDPR regulations may be falling short for modern healthcare applications
• The urgent need for multi-modal data sharing frameworks that are both privacy-conscious and research-enabling
• Real-world examples of data privacy breaches and their financial and reputational consequences
• Inspiring success stories from ARPA-H’s INDEX initiative and South Korea’s AI health data sharing model
• The call for a new era of algorithmic transparency, AI ethics, and patient empowerment in health data use

About the Podcast

AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.

This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

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