AMSTERDAM, June 17,
2024 /PRNewswire/ -- Monday, at HLTH Europe, the
Trustworthy & Responsible AI Network (TRAIN), a consortium of
healthcare leaders, announced its expansion to Europe with the objective to help
organizations in the region operationalize responsible AI through
technology-based guardrails. 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.
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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.
TRAIN's initial formation, announced in March 2024, introduced leading healthcare
organizations in the U.S. as part of the network. 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, including
low-resource settings, to benefit from technology-based responsible
AI guardrails.
- Sharing best practices related to the use of AI in
healthcare settings, including the safety, reliability and
monitoring of AI algorithms, and the skillsets required to manage
AI responsibly. Data and AI algorithms will not be shared between
member organizations or with third parties.
- 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, including best practices for
studying the efficacy and value of AI methods in healthcare
settings and leveraging of privacy-preserving environments, with
considerations in both pre- and post-deployment settings. Tools
that allow analyses to be performed in subpopulations to assess
bias may also be provided.
- Working toward the development of a federated AI outcomes
registry for organizations to share among themselves. The
registry will capture real-world outcomes related to efficacy,
safety and optimization of AI algorithms.
For more information on European TRAIN, join us at HLTH
Europe on Tuesday, June 18,
from 12:30 to 12:40 p.m. CEST at The
Forum stage (H90), where we'll share more details about the
network and its objectives.
TRAIN member quotes:
"Transforming healthcare
using AI must be seen as a global challenge that requires worldwide
cross-border collaborations. This approach is an important step
that enables us to tackle challenges not only at the national
level, but also across the EU and globally. To truly warrant
bedside adoption, we must work together to ensure AI benefits all.
Safeguards built into the technology will improve such equity."
— Dr. Michel van Genderen,
attending intensivist at Erasmus Medical Center and co-founder of
the Erasmus MC Datahub
"As an NGO dedicated to researching the use of AI in healthcare,
Foundation 29 is deeply concerned with ensuring that the use of AI
respects patient privacy and security. While high-quality data,
often sourced from patients, is essential for advancing AI
technologies, it is equally crucial to guarantee responsible use of
this data. For us, safeguarding patient data and fostering a
trustworthy environment for AI development and deployment in
healthcare is of paramount importance." — Sarah Harmon, president, Foundation 29
"AI has the potential to transform healthcare, but we must
remain vigilant about its ethical implications. In TRAIN, we are
joining forces across Europe to
share knowledge and tools for successful and sustainable
implementation of trustworthy and responsible AI into healthcare
practices." — Magnus
Kjellberg, head of AI Competence Center, Sahlgrenska
University Hospital
"TRAIN is a role model for joint efforts between the technology
industry and healthcare. AI represents a strategy that gives hope
for future healthcare effectiveness. The upcoming European TRAIN
effort will be an opportunity to take a fundamental step forward to
operationalize responsible AI solutions by facilitating the
generation and validation of algorithms with patient integrity left
intact." — Professor Stefan
Jovings, M.D., Ph.D., president of research and education,
Skane University Hospital, Sweden
"TRAIN's focus on responsible AI principles and
privacy-preserving collaboration enforces our strategies to safely
and ethically leverage AI technologies. This initiative builds
trust, protects patient data, and aligns the participating
institutions' practices to the European healthcare standards."
— Carlo Tacchetti,
professor and coordinator, AI strategic program of UniSR and
director of Experimental Imaging Center, San Raffaele Scientific
Institute
"AI in healthcare needs collaborations on a national and an
international level to help us use AI's power for improving patient
care and outcomes. We are excited to be part of this collaboration
to contribute to the new era of medicine that awaits us." —
Ben Collignon, chief information
officer, UMC Utrecht
"The primary goal for TRAIN is to enable individuals and
organizations to operationalize responsible AI principles through
technology-based guardrails. TRAIN will also enable organizations
to collaborate through federated, privacy-preserving approaches.
The formation of TRAIN in Europe
will help foster trust and confidence in the application of AI in
health and ensure that data privacy is maintained." —
David Rhew, M.D., chief medical
officer and vice president of healthcare, Microsoft
About the Trustworthy & Responsible AI Network
(TRAIN)
The Trustworthy & Responsible AI Network (TRAIN) is one of
the first health AI networks aimed at operationalizing responsible
AI principles. Through collaboration, TRAIN members will help
improve the quality, safety, and trustworthiness of AI in health by
sharing best practices, enabling registration of AI used for
clinical care or clinical operations, providing tools to enable
measurement of outcomes associated with the implementation of AI,
and facilitating the development of a federated AI outcomes
registry for organizations to share amongst themselves.
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SOURCE Microsoft Corp.