New consortium of healthcare leaders announces formation of Trustworthy & Responsible AI Network (TRAIN), making safe and fair AI accessible to every healthcare organization
With start of this week, the HIMSS 2024 Global Health Conference has begin and a new consortium of healthcare leaders announced the creation of the Trustworthy & Responsible AI Network (TRAIN), which aims to operationalize responsible AI principles to improve the quality, safety and trustworthiness of AI in health.
The Trustworthy & Responsible AI Network (TRAIN) is one of the first health AI networks aimed at operationalizing responsible AI principles.
Members of the network include AdventHealth, Advocate Health, Boston Children’s Hospital, Cleveland Clinic, Duke Health, Johns Hopkins Medicine, Mass General Brigham, MedStar Health, Mercy, Mount Sinai Health System, Northwestern Medicine, Providence, Sharp HealthCare, University of Texas Southwestern Medical Center, University of Wisconsin School of Medicine and Public Health, Vanderbilt University Medical Center, and Microsoft as the technology enabling partner.
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 national AI outcomes registry for organizations to share amongst themselves.
Additionally, the network is collaborating with OCHIN, which serves a national network of community health organizations with solutions, expertise, clinical insights and tailored technologies, and TruBridge, a partner and conduit to community healthcare, to help ensure that every organization, regardless of resources, has access to TRAIN’s benefits.
New AI capabilities have the potential to transform the healthcare industry by enabling better care outcomes, improving efficiency and productivity, and reducing costs. From helping screen patients, to developing new treatments and drugs, to automating administrative tasks and enhancing public health, AI is creating new possibilities and opportunities for healthcare organizations and practitioners. As new uses of AI in healthcare continue to unfold and grow, the need for rigorous development and evaluation standards becomes even more important to ensure effective and responsible applications of AI.
Through collaboration, TRAIN members will help improve the quality and trustworthiness of AI by:
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.
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 will also be provided.
Facilitating the development of a federated national 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 the collaboration and to hear from founding members, join us at our session at HIMSS on Tuesday, March 12, 2024, from 3 to 4 p.m. ET, “Operationalizing Responsible AI in Healthcare: Challenges and Opportunities.”
“When it comes to AI’s tremendous capabilities, there is no doubt the technology has the potential to transform healthcare. However, the processes for implementing the technology responsibly are just as vital,” said Dr. David Rhew, global chief medical officer and vice president of healthcare, Microsoft. “By working together, TRAIN members aim to establish best practices for operationalizing responsible AI, helping improve patient outcomes and safety while fostering trust in healthcare AI.”
“At Advocate Health, innovation is at the core of our drive to advance the science of medicine,” said Dr. Rasu Shrestha, executive vice president and chief innovation and commercialization officer for Advocate Health. “As we seek to make care more accessible and affordable for all, address the root causes of health inequities and provide the best health outcomes for our patients, we believe the responsible application of AI and leveraging key partnerships in this space will be essential as we reimagine how care delivery can be improved in the future.”
"OCHIN is proud to join this strategic collaboration to help fuel the future of safe and inclusive healthcare innovation,” said Kim Klupenger, chief experience officer, OCHIN. “By participating in the operationalization of responsible AI principles, we’ll help ensure the diverse experiences of patients and providers from underserved communities are represented in the creation and adoption of new solutions that can drive efficiency and make day-to-day care delivery easier and more accessible across our growing network.”
Dr. Nigam Shah, chief data scientist, Stanford Healthcare, said, "As a co-founder and board member of the Coalition for Health AI (CHAI), I am excited to see health systems coming together to operationalize CHAI’s principles for Responsible and Trustworthy AI."
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