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SIYOM Consulting Thought Leadership
Shaping the healthcare and lifesciences AI conversation with evidence, integrity, and clarity, translating complex ideas into actionable insights through impactful writing, speaking and research to drive ethical and visionary innovation.
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When Do Your AI Agents Turn Into Pumpkins?
The regulatory clock, the Wrong Pocket problem, and why governing AI will require AI Midnight is different for everyone. An AI regulation can be enacted today, become effective months later, impose…
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The Numbers Don’t Square
What an unusually candid conversation about healthcare economics revealed and why AI may change the equation rather than merely rearrange it. About halfway through an evening of healthcare policy and economics…
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Policy Is Becoming Part of the Product: Reflections From Health Tech Investor Day
At Health Tech Investor Day, Rachel Kern described a potential investment that fell apart over a question considerably less glamorous than anything in a technology presentation: how was somebody actually going…
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Health AI+ 2026: The Questions Are Getting Harder — and Better
What I heard at CTA’s fourth annual Health AI+ Conference On September 9, I spent the day at the Consumer Technology Association’s Health AI+ Conference in Washington, D.C., including joining Jesse…
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A Hub is a Verb
What research ecosystems have to learn after everyone agrees to collaborate On August 21, 2026 I had the privilege of participating in the launch of the Amity Global Research Hub at…
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The Red Team Analyst Prompt: How to Pressure-Test AI-Generated Work Before You Rely on It
A document can pass basic validation and still fail under challenge. That is the uncomfortable point the Red Team Analyst prompt is designed to address. A Fresh-Eyes audit can tell you…
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The Fresh-Eyes Validator Prompt: Why AI-Generated Work Needs a Separate Audit Layer
The easiest way to misuse AI is to let the same workflow generate the work and then treat its own self-review as validation. That sounds obvious when stated plainly. Humans do…
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The Dossier Prompt: How to Use AI for Relationship Intelligence Without Making Things Up
Most AI-generated dossiers fail in one of two ways. The first failure is harmless but not very useful: the model produces a dressed-up LinkedIn summary. Current role. Prior roles. Education. Maybe…
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From Company Research to Decision Support: How to Use AI Without Getting a Generic Business Summary
Most AI-generated company research is dangerous, dangerous in a very specific way: it can be plausible, polished, and generic enough to be mistaken for decision support. Ask an LLM to “research…