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14:30
14:30 - "Health Data, AI, and Privacy: Striking the Right Balance for Research and Innovation" -
Health Data, AI, and Privacy: Striking the Right Balance for Research and Innovation.
Abstract:
The global rise of digital health technologies and artificial intelligence (AI) has unlocked immense potential for advancing medical research, personalized care, and public health initiatives. However, these developments also pose significant challenges in the realm of data protection, particularly concerning the sensitive nature of health data.
The secondary use of health data—such as in medical research, AI model training, and healthcare analytics—offers valuable insights but raises privacy risks and ethical concerns. Regulatory frameworks like the General Data Protection Regulation (GDPR) mandate strict controls on the handling of personal health information, complicating international data sharing and analysis efforts. One of the key solutions to these challenges is the anonymization of health data or the use of synthetic data. While anonymization seeks to remove identifying features, ensuring complete privacy without introducing biases or compromising data utility remains difficult. Balancing the benefits of secondary health data use with the need for privacy, accuracy, and compliance remains a critical issue requiring global collaboration and innovative approaches to data governance and AI ethics.
Anastassia will try to explore these different elements while providing practical insights and recommendations for addressing the challenges associated with data protection, privacy, and the secondary use of health data, considering the role of anonymization and synthetic data including for AI-driven innovation.
Online access via teams is available but the quality cannot be guaranteed