For sale
NextConsensus
Estimates how likely a guideline, label, or coverage decision is to change by a set date.
I’ve taken healthcare products from demo through hospital review into daily use
Now I build AI products the way I built clinical software: find the decision everyone has taken for granted, then build the version that removes the workaround. At Doximity, it was which phone number a patient sees. For an AI agent, it is what the agent is allowed to do.
Systems designer and independent researcher · Chicago
| Value | Measure | Source |
|---|---|---|
| 300,000+ | calls on an average workday | Doximity Dialer, which I originated as founding product lead. Doximity’s report for October–December 2025. |
| 9 years | later, in daily use |
Selected case studies
The patient sees the office number, not the doctor’s cell
- The situation Physicians called patients from personal phones, giving the number away for good or showing “Unknown Caller.”
- My choice I proved caller ID over a weekend and launched on a vendor that did not require proof of number control.
- What followed Hospital authorization followed adoption, and the route was unchanged when I left.
Plain-language next steps for 30 million annual visitors
- The situation A family facing a new cancer diagnosis needed the next step and a number to call. The site gave them encyclopedia entries.
- My choice I relaunched around plain-language care pathways and nursing triage, with product and nursing reviewing real questions together.
- What followed Chat conversions rose 267% and bounce rate fell 25% across 30 million annual visitors.
Four care programs, one system, and an owner for every case
- The situation High-complexity cases in surgery, oncology, and behavioral health were stalling in exception queues.
- My choice I built one shared routing system instead of four custom ones, and stated the trade: slower to build, faster to scale.
- What followed Four programs launched on shared infrastructure, and routing delays stopped being the primary bottleneck.
What connects my work
Doximity Dialer lets a clinician call from a personal phone while the patient sees the office number, and it is still in daily use. It expanded what a clinician could do. A working solution like that easily becomes the default, even when other approaches are possible. Can a tool expand what someone can do while also giving them more say in how it works?
Research →What I’m building
Experimental
Ambit
Maps what an agent setup can already do, what one more step would unlock, and which of those tools actually work.
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Live
Refract Replays source revisions to catch a change before the citations that rely on it go stale.
Writing and standards
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Research and essays
From a first-author ACS Symposium Series chapter on RNA thermodynamics to 230+ essays at The Crumple Zone on how institutions distribute burden, absorb failure, and decide who can exist inside them. Selected writing →
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Proposed AI standards
I wrote Ethotechnics’ framework for recording approval, challenges, and corrections. ethotechnics.org
What I want to test next
Whether a record can carry a real dispute end to end: an agent acts, a person challenges the action, and the correction reaches every decision that depended on it.
Staff Fix the Errors Your Dashboard Doesn’t Show An automation can report 94% straight-through processing while staff fix mismatched codes in shadow spreadsheets.
I take advisory and fractional product leadership roles for healthcare and AI ventures, partner with commercial co-founders on new builds, and research how institutions correct their failures. If you have a product that works and a review standing between it and its users, I’d like to hear from you. kanav@kanav.net
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