Cleveland Clinic Joins New Consortium of Healthcare Leaders in Formation of Trustworthy & Responsible Ai Network (Train)

ORLANDO, Fla. – Cleveland Clinic is joining a new consortium of healthcare leaders as part of the Trustworthy & Responsible Ai Network (TRAIN). The network, announced today at the HIMSS 2024 Global Health Conference, aims to operationalize responsible AI principles to improve the quality, safety, and trustworthiness of AI in health.

Members include healthcare organizations from across the country and Microsoft as the technology enabling partner. 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 the benefits TRAIN offers.

“The thoughtful implementation of AI has the potential to transform healthcare, allowing us to reach more patients and provide safer care with a higher-quality experience,” said Rohit Chandra, Ph.D., Chief Digital Officer at Cleveland Clinic. “However, we must be careful about how we bring AI into clinical practice. It’s important that health systems come together in organizations like TRAIN to share best practices and align on responsible and safe uses of AI.”

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 amongst themselves. The registry will capture real-world outcomes related to efficacy, safety, and optimization of AI algorithms.

For more information on TRAIN, visit: https://news.microsoft.com/?p=448739