Consortium for Safe Artificial Intelligence in Healthcare

Consortium Overview

Artificial Intelligence (AI) offers new opportunities to improve patient outcomes, streamline workflows, and enhance clinical decision-making. However, the integration of AI technologies into healthcare settings also introduces unique patient safety challenges that require proactive, collaborative solutions.

Join us in developing a strategic approach to understanding, addressing, and advancing AI safety, with a focus on fostering collaboration, sharing best practices, and developing practical resources for organizations at every stage of AI adoption.

Through this consortium, we seek to broaden the conversation, engaging vendors and supporting organizations that may lack dedicated AI governance infrastructure. Through these efforts, we will help ensure that AI technologies are implemented safely, effectively, and equitably.

  • Consortium for Safe AI in Healthcare Kickoff Session
    Contains 3 Component(s) Includes a Live Web Event on 06/09/2026 at 12:00 PM (EDT)

    The Mid Atlantic Patient Safety Center and the MedStar Health National Center for Human Factors in Healthcare invites you to join us in developing a strategic approach to understanding, addressing, and advancing AI safety, with a focus on fostering collaboration, sharing best practices, and developing practical resources for organizations at every stage of AI adoption. ​This kickoff session will feature a lecture that covers some of the basics of AI, including the difference between generative and rule-based AI, clinical applications of AI, and the possible risks associated with the use of AI in healthcare. Based on the needs identified by consortium members, future discussion topics may include: distinguishing between AI technology and medical devices when making procurement decisions, understanding existing AI governance processes, best practices and systems thinking for AI safety event analysis, and identifying organizational stakeholders involved in AI safety. Our goal is to create an open forum where consortium members can share and analyze real-world examples of AI-related safety issues, and then co-develop actionable recommendations, best practices, and toolkits that will be accessible and actionable for all.