Trusted Research Environment for Health AI advancement

Purpose and goal

The "Trusted Research Environment for Health AI" (TRE) is a project which aims to enhance the secure development and testing of AI technologies in healthcare and life sciences. It allows for the refinement of AI models using health data while protecting sensitive information, thus promoting collaboration in data-driven research across Sweden.

Expected effects and result

The effects of the Trusted Research Environment for Health AI project is to provide an example of how AI can be validated in a Health context which considers the legal, regulatory and ethical aspects of health data used to train AI models. The results of the project will answer key questions about how health data can be utilised in a complex data management environment to develop, test and validate AI models which meet the standards defined by European AI Act regulation.

Planned approach and implementation

"Trusted Research Environment for Health AI" project will utilize a structured, agile methodology to develop a system demonstrator, enabling iterative development through feedback from pilot studies and sandbox activities. Stakeholder workshops, including healthcare providers, AI developers, and regulatory bodies will be used to gather requirements into a common backlog to define the sprint plan for the prototype testing and pilot validations. Structured sprint reviews will capture continuous feedback and secure adherence to strict data protection and ethical standards.