Healthcare product & systems leader
Healthcare product and systems leader building accountability infrastructure for high-stakes AI.
Fourteen years shipping products where a wrong automated decision is measured in patient outcomes — Epic, Doximity, Transcarent, Andwise. Now building the evaluation, review, escalation, and correction systems that let institutions safely rely on AI.
Strategic engagement VP Product / CPO / Founding Product Lead — Exploring product and systems leadership roles in healthcare AI, clinical decision infrastructure, AI deployment safety, and evaluation operations.
How this work accumulated
Fourteen years in domains where a wrong automated decision is measured in patient outcomes. In retrospect, the same operational problem kept recurring: the higher the stakes, the harder it got to trace, question, or undo a decision.
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Configured EHR workflows, decision-support alerting, and quality-measurement rules across hospital go-lives.
A single misrouted alert can bury a critical lab result. The workflow around the clinician was almost always the constraint — not the clinician. The same question recurs anywhere a system's output drives action: why would anyone believe it?
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Early product lead on Dialer — verified office caller ID, consent copy, fallback paths for missed connections, and audit-ready call logs.
Patients answered once the call could prove who it came from. Trust is a product decision: what a system claims about itself determines whether anyone acts on it. Identity needs provenance and a correction path — a requirement that is not specific to phone calls.
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Directed digital products and strategy for an oncology information and navigation platform serving 30MM annual visitors.
Translating clinical protocol into steps a frightened family can follow, at scale, means the guidance itself becomes the risk surface. Content needs review paths and instrumentation, and guidance is only as good as whoever owns the next step.
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Led product across four specialty-care programs — a unified member record, clinician-led routing rules, escalation paths, and care-plan completion dashboards.
Routing output without a workflow owner is just a suggestion. Making ownership visible cut the exception queue. The harder version of the problem is a recommendation that is genuinely contestable.
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Co-founder and CEO. Built review routing, escalation clocks, accountable sign-off, and a 50+ physician medical advisory board for physician-facing financial guidance.
Sensitive recommendations need accountable sign-off and inspectable provenance — not a confidence score. Encoding expert authority into a workflow turns out to be the same problem as governing an automated decision, one layer down.
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Frozen-evidence forecasting for guideline, regulatory, and coverage actions; a deterministic evidence-traceability engine; and a published operating model for authorization, challenge, and correction.
Looking back, one pattern held across all of it: the higher the stakes, the harder it became to trace, question, or undo a decision. This work makes traceability, challenge, and correction explicit infrastructure instead of institutional goodwill.
Case studies
Product methodology: Ethotechnics
The operating method governing my current work — making AI-driven decisions explainable, challengeable, and correctable in production with explicit ownership, escalation, and correction paths. Read the framework →
Flagship project
Operating method & writing
The operating framework and analysis practice behind the flagship work.
Operating method — governs NextConsensus
Ethotechnics
The operating method behind the flagship work — making AI decisions explainable, challengeable, and correctable with explicit ownership, escalation, and correction paths.
Explore method →
Writing and analysis
The Crumple Zone
Essays on eliminating operational friction and bridging the gap between automated recommendations and clinical execution.
Read essays →
Verification infrastructure
Labs & experiments
If you are preparing an enterprise AI system for hospital procurement, security audits, or clinical deployment — let's connect.