In a healthcare environment, evaluating vendors’ AI technologies within an AI governance framework is crucial to ensure safe, effective, and ethical tools are being used for patient care. Glenn Wasson, an expert in analytics at UVA Health, stresses the importance of establishing a robust governance framework to interact with vendor products to minimize risk and maintain public trust. This includes understanding and evaluating risks associated with AI systems in clinical use across categories such as correctness, fairness, workflow integration, safety, and privacy.
Wasson will be addressing this topic in an educational session at HIMSS25, focusing on the need for increased transparency and dialog between provider organizations and vendors to highlight sources of risk and build provider confidence in AI tools. The session will cover various use cases for AI in healthcare, from diagnosis prediction to supply chain management, and discuss how AI and humans can collaborate in decision-making processes.
Attendees at Wasson’s session will gain an understanding of the unique aspects of AI system evaluation and be provided with a framework for assessing AI tools through a continuous dialog between providers and vendors. This approach will help organizations make informed decisions on which tools to deploy while considering risks and mitigations. The session is scheduled for March 4th at HIMSS25 in Las Vegas.
Source
Photo credit www.healthcareitnews.com