Portrait of Kanav Jain

VP / Head of Product · Chicago & Remote

Clinical Intelligence Product Executive

I lead healthcare AI products that become trusted clinical infrastructure.

Résumé →100+ hospitals with decision rules6 published open standards

Most healthcare AI fails because organizations can't operationalize it. I build products that survive clinical workflows and institutional trust reviews.

Companies bring me in when they have proven the technology but need to turn it into a product organizations trust, adopt, and build around.

Andwise 2022–2024

Scaling trusted financial guidance through automated review and accountable sign-off

Constraint
Early-career physicians faced high-friction, high-stakes financial decisions (debt, contracts, home buying) without access to reliable, unbiased, and scalable guidance.
Decision
Led the development of automated clause-level analysis that flagged key contract terms for review, paired with medical advisory board oversight and escalation-clock routing to ensure accountable human sign-off.
Outcome Scaled to 1,200+ physician users and compressed standard recommendation turnaround from days to hours. Andwise wound down in 2024 — not because the product failed, but because investors wanted us to monetize fear. We chose to shut down rather than become what we set out to protect physicians from.
Why it matters
The escalation-clock pattern is the same authorization-state architecture that appears in the AI governance work. The wind-down taught me that the business model has to be designed before the product, not after — or you'll be forced to choose between the mission and the money.
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CancerCompass / CTCA Marketplace 2019–2021

Scaling oncology navigation for 30MM annual visitors

Constraint
An oncology information platform with 30MM annual visitors needed to translate clinical protocols into actionable steps for patients and families navigating cancer care.
Decision
Led relaunch with plain-language navigation flows, feedback loops with nursing teams to tune triage rules, and reliability reviews so content updates stayed aligned with clinical oversight.
Outcome Reduced bounce rate by 25% and increased chat conversions by 267% through interface and analytics updates. Directed $2M in software development across core platforms.
Why it matters
Translating clinical complexity into consumer-scale product — 30MM annual visitors navigating cancer care from a screen, not a phone call.
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Doximity 2013–2017

The identity infrastructure behind trusted telehealth

Constraint
Physicians need to reach patients but face a structural bind: call from the hospital desk phone (geographically tethered) or call from their personal cell (exposes their personal number permanently — no boundary, no audit trail, safety risk). Most choose neither. The call doesn't happen. And when they do call from a cell phone, patients see 'Unknown Caller' and don't answer. Twilio required verifying access to the outbound phone number before letting us display it as caller ID — the legitimate path, but slower. We found a vendor that let us set any caller ID without verifying ownership. I knew that approach would never pass hospital IT security review. But I also knew hospital IT would likely never approve the product at all — it lets physicians make outbound calls using their office number from a personal cell phone, geographically liberating the number from the hospital phone system. No security team green-lights that on paper. The only path to institutional adoption was to get physicians using it first — build critical mass, and make approval a fait accompli rather than a request.
Decision
Took the shortcut — used a vendor that didn't require caller ID verification — because the legitimate path would never get approved. Hospital IT wouldn't pre-approve a product that lets physicians use their office number from a personal cell phone. The only way through was around: ship to physicians directly, build critical mass, and let institutional approval follow adoption instead of preceding it. Built the HIPAA compliance policy and Epic Haiku integration to give hospital IT a documented basis to clear the product once it was already in use.
Outcome Established the identity layer Dialer scaled on. Nine years after I left Doximity, the product is still the #1 ranked telehealth platform by health system CIOs — five years running, beating Microsoft Teams and Zoom. Doximity now conducts 300,000+ voice and video visits per average weekday across 200+ health systems, reaching ~45% of U.S. physicians with paid enterprise licenses. Five direct competitors tried to build a physician-focused Dialer and failed. Pickup rates 3x higher than competitors — patients see the office number, not 'spam risk.' The architecture held.
Why it matters
When the call connects, a lab result gets communicated tonight instead of next week. A post-discharge follow-up reaches the patient before a complication sends them back to the ER. A physician who gets a biopsy result at 7pm can call from home — the patient sees the office number and answers, the personal boundary stays intact, and the diagnosis doesn't wait until morning. The first sign it was working wasn't a metric: medical residents I'd gone to undergrad with told me they were getting more sleep at night — they could call patients from home with the office number instead of staying at the hospital to use the desk phone. At Transcarent, the problem changed from trust to scale: how to make that same trust work across four clinical programs at once.
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01

Clinical Intelligence

Turning complex clinical knowledge into products clinicians use.

02

Trusted AI

Building the evaluation, provenance, and human oversight systems that make AI deployable.

03

Product Leadership

Building organizations, portfolios, and operating systems that scale those products.

300K+ daily voice & video visits Doximity Dialer — #1 ranked telehealth platform
35K+ physicians surveyed Largest national compensation survey
100+ hospital go-lives Epic clinical decision rules
30MM annual visitors served CancerCompass oncology platform
4 specialty-care programs launched Transcarent — Surgery, urgent care, Behavioral Health, Oncology
1,200+ physician users Andwise financial guidance platform
$5M revenue driven Doximity Talent Finder, 60% YoY growth
6 published open standards Ethotechnics AI deployment standards
DoximityEpicTranscarentCancerCompass / CTCA MarketplaceAndwiseMemorial Sloan Kettering Cancer CenterTechstars

I'm building the unsolved piece: helping organizations recognize when the evidence itself has changed.

I reduce the gap between what healthcare organizations know and what they can reliably act on.

Clinical software fails at adoption more often than it fails at accuracy. Organizations adopt AI when they trust the operational system surrounding the model — not the model itself. Read the method →

Email me. Open to executive product leadership roles, strategic advisory, and institutional pilots for NextConsensus.

[email protected]