On June 17, at HLTH Europe, the Trustworthy & Responsible AI Network (TRAIN), a consortium of healthcare leaders, announced its expansion to Europe.
The consortium, announced in March 2024, has the objective to help organizations in the region operationalize responsible AI through technology-based guardrails.
A press release on the announcement says that “Organizations that have come together to form the European TRAIN include Erasmus MC (the Netherlands), HUS Helsinki University Hospital (Finland), Sahlgrenska University Hospital (Sweden), Skåne University Hospital (Sweden), Universita Vita-Salute San Raffaele (Italy), and University Medical Center Utrecht (the Netherlands), with Microsoft as the technology enabling partner. Foundation 29, a nonprofit organization that aims to empower patients and transform healthcare through data-driven initiatives and innovative technologies, has also joined European TRAIN. The network is open to other healthcare organizations in Europe interested in joining.”
Further, “Emerging AI technologies hold significant promise for revolutionizing the healthcare sector in Europe and across the globe. By enhancing patient care outcomes, streamlining processes and reducing costs, AI has the potential to transform the industry. As the technology continues to evolve, robust development and evaluation standards are crucial to ensure responsible and effective AI applications. TRAIN aims to improve the quality, safety and trustworthiness of AI tools implemented in healthcare to help ensure clinicians and patients benefit from this innovative technology.”
The consortium's operational objectives include:
- Providing technology and tools that enable trustworthy and responsible AI principles to be operationalized at scale
- Working in collaboration with other TRAIN members and key stakeholders to enable all organizations to benefit from technology-based responsible AI guardrails
- Sharing best practices related to the use of AI in healthcare settings
- Working toward enabling registration of AI used for clinical care or clinical operations through a secure online portal
- Providing tools to enable measurement of outcomes associated with the implementation of AI
- Working toward the development of a federated AI outcomes registry for organizations to share
