We’ve all seen the hype.

AI will revolutionize health care. It will cut documentation time. Improve diagnoses. Save lives. Maybe even replace doctors.

But here’s what I know after 11 years as a hospitalist: Hype without evidence is dangerous. And AI—especially in medicine—isn’t just software. It’s treatment.

If we’re going to let AI influence life-or-death decisions, it needs to meet the same standard as any clinical intervention. That means rigorous trials, transparent design, …

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Everyone wants the best model. The flashiest algorithm. The one with the highest AUC and the sexiest machine learning buzzword attached.

But here’s the problem: In hospital care, especially at midsize institutions, the “best” model on paper might be the worst fit for your people, your patients, and your workflow.

As a hospitalist and data-minded clinician, I’ve been exploring how we can use AI to reduce 30-day readmissions—an outcome tied not just …

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