The processing of personal health data, whether for a clinical trial, application development, or partnerships with academics, requires anticipating multiple risks. The protection of sensitive data is paramount, and failure to comply with the associated requirements can quickly arise if particular attention is not paid to technical and organizational measures.

Together, we will analyze the opportunities, risks, and best practices to implement within the company to ensure compliance and strengthen stakeholder trust in various situations:

• Setting up data collection: The start of a project is the best time to ensure that GDPR key principles are implemented, such as transparency, data minimization, and retention limitation.
• Data reuse: Reusing data allows you to leverage data collected for other purposes. However, it raises significant challenges in terms of GDPR compliance, such as informing patients and defining the legal basis for data processing.
• The challenges of Artificial Intelligence: Health data is often (re)used in specific models. This raises numerous questions regarding transparency and compliance with the GDPR’s data minimization requirements.

What will be your benefits:

• Understand the fundamentals of the GDPR, as well as key points on the upcoming AI regulations and their implications for health data.
• Identify the impacts for your business through interactive discussion and concrete feedback from real-world experience.
• Be able to define the first steps of a personalized data protection action plan, tailored to your company’s current stage and future development.