Healthcare organizations are rapidly investing in artificial intelligence across clinical, operational, and administrative functions, yet many continue to struggle to move beyond isolated pilots and demonstrate measurable enterprise value.
This webinar offers a behind-the-scenes look at the Vizient/Kaufman Hall AI Maturity Assessment and the foundational capabilities health systems need to scale AI responsibly and effectively. Participants will hear directly from the assessment's designers and contributors, explore the thinking behind its development, and examine the domains that influence an organization's ability to move from experimentation to sustainable value.
The session will review how governance, decision rights, data, technology, risk management, accountability, adoption, and ROI measurement work together across the AI lifecycle. Attendees will gain insight into the assessment methodology, what it is designed to measure, how the domains were selected, and how the framework helps organizations identify strengths and gaps, and priorities for improvement.
Presenters will also hear about emerging findings and observations from organizations that have completed the assessment to date.
The webinar will discuss the role of self-assessment methodologies and how the instrument should be interpreted to support organizational planning and decision making.
The session will conclude with an invitation to complete the Vizient/Kaufman Hall AI Maturity Assessment and contribute feedback to help shape the tool's ongoing evolution. Assessment results and participant input will inform a facilitated discussion and breakout sessions at the AMIA Annual Meeting Symposium, where attendees will explore how health systems can strengthen AI maturity and accelerate value realization.
Learning Objectives
- Describe the foundational capabilities evaluated by the AI Maturity Assessment and their role in scaling AI across the enterprise.
- Explain the purpose, methodology, and intended use of the AI Maturity Assessment, including its role in benchmarking organizational readiness and capability development.
- Recognize common barriers that prevent AI investments from producing enterprise value.