Data, Decisions and Clinics

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Product

A collection of 5 issues

The Architect Who Should Have Read JAMA

In healthcare AI, policy shifts now appear first in journals like JAMA and NEJM, then quietly become grant conditions and RFP requirements. Many tech teams miss this signal. The winners will be those who translate medical literature into architecture before it becomes mandatory.

A thought on titles and timelines

I’m seeing a flood of self-proclaimed “AI experts” with little real depth. After decades building enterprise systems, I still hesitate to claim the title. In healthcare AI, experience matters more than hype. Projects fail from old debts and governance gaps, not lack of buzzwords.

The Question Is No Longer "Can We Build It?"

The bottleneck in tech is no longer writing code, it’s deciding what to build. As AI collapses development time, value shifts upstream to product judgment. In healthcare especially, models work, but projects fail without real product thinking. The new question isn’t can we build it, but should we.

The Smartest Person in the Room Is a Prompt

At 2am, every product manager runs the same simulation, an imaginary room of stakeholders. The problem? You built the room. AI can become the same echo chamber. There are five levels of working with AI, and only the higher ones truly challenge your thinking.

The Room That Runs Itself

I ran a full design thinking workshop on a Sunday afternoon, no flights, no sticky notes, just nine AI agents configured to disagree. For under $10, they reframed the problem entirely.