May 26–27, 2026
In May 2026, the Center for Health Care Innovation convened the Health AI Symposium alongside the YNHHS Innovation Awards. The program reflected a maturing innovation landscape in which success depends not only on new ideas, but on the ability to implement, govern, measure, and scale solutions in real-world care settings.
Developed in collaboration with the State of Connecticut and regional partners, the symposium brought together clinicians, operators, investors, and founders to examine how AI is moving from promise to practice.
Key Takeaways
- Execution, not idea generation, is the primary challenge in healthcare AI
- Value is created when solutions are embedded into clinical workflows
- Governance and monitoring are critical for safe and scalable adoption
- ROI must be measurable, but broader impact includes clinician experience and access
- Implementation is an ongoing process, not a one-time deployment
What We Heard
Across sessions, speakers consistently emphasized that AI must align with how care is actually delivered. Adoption depends on clinician trust, workflow integration, and the ability to demonstrate value in operational and financial terms.
A central question throughout the symposium was not whether AI works in theory, but whether it reduces burden, improves care delivery, and can be sustained over time.
Featured Discussions
- AI in Practice: From Promise to Reality
- Focus on translating models into real-world workflows
- Emphasis on clinician experience as the primary adoption driver
- Measuring Value and ROI
- Hard ROI remains the primary decision driver
- Alignment across stakeholders is often a barrier to adoption
- Governance and Scaling
- Shift toward enterprise-wide AI oversight
- Growing importance of post-deployment monitoring
- From Validation to Deployment
- Implementation is the hardest phase
- Continuous iteration and feedback are required for success
Presentation 4: AI in Practice
Recap
