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S.M.A.R.T. and S.A.F.E. is a novel AI framework— here’s how UC Davis built it.

Our AMAM model guided UC Davis as they built data governance from the ground up, then built an evaluation framework for health AI. They started at Stage 0, built system-wide data standards, got revalidated at Stage 4, then rolled out systems to classify which machine learning models were safe. Now, they’re handling 1,000+ data provisioning requests per year—and have approved over 25 AI models for use on the floor.

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What is AMAM?

Good question. AMAM is a maturity model that helps centers like UC Davis drive analytics adoption, develop data governance, and deploy risk interventions and predictive analytics at scale. From rolling out AI to deploying point-of-care analytics, AMAM gives systems a roadmap towards using patient data right.

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I’m curious—how did UC Davis do it?

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