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Oct 4, 2026
You already have governance. The problem is no one manages it. What AI governance actually means inside a health system, and how to run the one you already have.
Sep 28, 2026
How to read a risky AI investment before it reads you.
Sep 23, 2026
AI risk management is not a document you sign one time and file. Notes from the data side on model drift after go-live, who holds the authority to stop a clinical model, and why a governing body's sign-off does not hold in perpetuity.
Sep 14, 2026
Most healthcare AI pilots stall on the data underneath the model, not the model itself. Notes from the data side on the debt beneath the tech debt, the record that was never built to answer the question, and what changed when data quality finally got treated like the asset it was.
Sep 7, 2026
Trust in people has to come before trust in the model, and most health systems cannot say who is allowed to stop one. Notes from the data side on consent as understanding, oversight that has to be operationalized, and a dashboard that collapsed when the only person who understood it left.
Aug 31, 2026
Eighty-five percent of AI pilots fail, and not because the model was wrong. Notes from the data side on the debt beneath the tech debt, the commitments that lock health systems in, and what it looked like when data quality finally got treated like an asset.
