Clinical translator by training — MD, not a practicing physician, fluent on both sides of the table. Twenty years in orthopedic technology and health-system partnerships; now founder of co-op.care and SolvingHealth, shipping the systems I used to advise on.
Two jobs, one skill. I take health-technology companies into the U.S. market — commercialization, health-system partnerships, reimbursement. And I embed with AI and deep-tech teams as the clinical translator who turns lab science and models into signed, reimbursed, adopted care.
I've spent 20+ years building relationships between technology companies and health systems. I know how deals get done, where they stall, and why. From pilot programs to system-wide adoption, I speak the language on both sides.
The proof: seven years at Pristine →I've been in the room when healthcare companies get acquired. InVivoLink (HCA Healthcare), PumpOne (Anytime Fitness), Disior (Paragon 28) — I've helped navigate the diligence process, validate market positioning, and close deals.
The proof: the InVivoLink chapter →I built BrainLAB's orthopedic navigation vertical from zero by getting surgeons to adopt planning and navigation in the OR. For a device company between first-in-human and pivotal, I bring the two things a Series A data room asks for that an engineering team can't write alone: the U.S. reimbursement path (coverage, coding, site of service) and the surgeon-adoption plan.
The proof: the BrainLAB chapter →Right now I'm looking to go deep with a small number of teams — a health-technology company taking on the U.S. market, or an AI / deep-tech group that needs a clinical translator in the room, not on a call. Fractional, embedded, or full-time. If that sounds like your team, let's talk.
Start a conversation →Healthcare doesn't have an app shortage — it has a systems shortage. I don't build another interface. I architect the whole chain, where every layer serves a clinical purpose and a human owns every decision that carries liability. Three I've built:
The system: the technology that tells a surgeon where to place the instrument — imaging, planning, sensors, and the OR workflow, integrated into one trusted loop. What it proves: I've architected clinical technology in the highest-stakes room there is, and gotten surgeons to trust it. Grew that vertical from zero across two continents; five patents in the method.
The patents, primary source →The system: assessment → care plan → delivery → billing for home-based care, mapping soft home visits into hospital-grade structured data (Omaha System → FHIR). What it proves: I ship, now — a deployed platform, not a deck. Every layer earns its place, clinically and financially.
See it running: co-op.care →The system: an on-device model for orientation, sensors for signal, and a physician for every decision that carries liability — the machine never becomes the source of a medical fact. What it proves: I design at the current frontier, and I put human accountability at the exact seam where it belongs. Proven end-to-end on Apple's on-device model.
The architecture, published →Connect biology, sensors, AI, clinicians, and reimbursement into one chain — and keep a person accountable where it counts.The pattern never changes. That’s the job. If you’re building a system like this, let’s build one →
Twenty years at the boundary between surgeons and technology — one continuous thread, not a list of jobs. Tap any stop to see what it taught me about getting innovation adopted.
Every role below is the same job in a different costume: translate between the people who hold the scalpel and the people who build the technology. Tap a stop to follow the thread.
Founder of co-op.care and SolvingHealth. Building the physician-facing stack — SurgeonValue and ClinicalSwipe — plus HarnessHealth, chanio, SweatSciences and Sh-Room. Every card below is a real live domain.
A care cooperative where the caregiver is an owner. Most families already qualify for public dollars to help care for someone they love, and never claim them — co-op.care finds what you qualify for and routes more of every dollar to the family and the caregiver instead of an agency. Owned by its members, Boulder first; paid care begins once the first circle is licensed and staffed.
Every specialty has an AI front office now — only SurgeonValue puts a licensed surgeon's name on the work. Wonder Bill finds the codes a routine note missed; Prior Auth drafts the medical necessity letter from the note. Coding audit, prior auth and attested PROMs work today; six more agents, RTM billing among them, are in design. AI drafts; nothing is attested until the surgeon signs.
An AI output goes to a licensed, specialty-matched physician, who signs or declines it — a defensible, audit-trailed record. The pilot runs on synthetic cases, so no reviewer is paid yet and no rate is published. ClinicalSwipe takes no percentage of any claim, sale, or savings.
An AI of your own. It lives on your computer, answers there, and remembers what you teach it. Only the truly hard questions go to the big AIs — held for tonight, answered by morning — and a running meter shows what stayed local. The model is rented; the mind is yours.
You already use AI for your health — so do your doctors. HarnessHealth is the layer that makes it accountable: your health conversations stay yours, and a licensed physician stands behind anything that matters. Works with any model. Sandbox and demonstration today; no production review yet.
A sweat calculator, no account needed: tell it your workout, get your exact sodium, potassium and magnesium target, and a real-food mix that hits it. The distance science is written by Parker Warkentine, a Clemson University distance runner: 4:16 mile, 1:54 800m, 15:40 5k.
The whisper-quiet mushroom incubator for your kitchen counter: under 18dB, 2-minute setup, 78% recycled materials. Grow lion's mane, oyster, and shiitake at home. Launching on Kickstarter in Fall 2026.
Every project above is a channel in chanio — compiled nightly, open loops surfaced, context held across sessions.
chanio.com — the governing layer →Investor, operator, or partner? How these pieces are one machine — draft with AI, sign with a human, own the record — and the bet underneath, in one read.
The investment thesis →On the post-AI transition in healthcare — accountability, reimbursement, and what it takes to make the science actually get adopted. Owned, not rented: every essay lives here first, in full. LinkedIn is where I hand it to my network.
The tutorials give the AI what you’d give a new hire — never what you’d give a licensed one. The missing layer, a named human who signs the output and owns the liability, is the whole game for regulated work.
Built from Tyler Cowen’s thesis: the bottleneck isn’t the models, it’s whether you’ve changed what you actually do. Most people only freelance with AI — where do you sit?
Every essay lands here first, in full — then I hand it to my network on LinkedIn. No Substack, no algorithm, no email wall.
Read all writing →Clinical training, business foundation, and deep domain expertise in orthopedic technology.
Fractional strategy, advisory board, healthcare M&A consulting, or just a real conversation about the agentic care stack. I read everything.
Book an intro call →