Short, practical pieces on how clinical AI actually holds up — written from both the bedside and the deployment side.
HIPAA doesn't have to be a blocker — but it has to be a real conversation early. What compliant clinical AI deployment actually requires, from someone who has built it.
Read →The model is the cheap part. When to buy clinical AI, when building can make sense, and when the highest-return move is to wait.
Read →The model isn't the moat — it's commoditizing. Why workflow fit and clinician trust are the durable advantage in clinical AI, and where most diligence isn't looking.
Read →The questions that actually predict whether a healthcare AI tool survives contact with a hospital — organized by what predicts success, not what's easy to ask.
Read →The demo is the easy part. Why clinical AI pilots stall when the tool meets a real clinical day — and the five questions worth asking before you buy or build.
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