Portrait of Kanav Jain

Clinical Intelligence Product Executive · VP / Head of Product · Chicago & Remote

Clinical Intelligence Product Executive

I'm the product executive you hire when your organization knows more than it's currently capable of acting on.

Résumé →100+ hospitals with decision rulesML model serving 35K+ physiciansAuthored HIPAA compliance policy4 programs with automated triage6 published open standards1,200+ physicians served

I reduce the gap between what an organization knows and what it actually does.

The pattern across Epic, Doximity, Transcarent, CancerCompass, and current work is consistent: recognizing when an organization's decision model no longer matches reality — and designing products that help close that gap. I reduce the gap between what an organization knows and what it actually does.

I build decision systems: workflows, evidence, routing, provenance, evaluation, escalation, accountability, and human override. Healthcare has the hardest decision systems — high uncertainty, high regulation, high consequence, fragmented knowledge, institutional inertia. AI is making those systems more necessary, not less.

What looks like a single product is usually an architecture decision. Doximity Dialer required identity infrastructure before it could power trusted telehealth. Transcarent's specialty-care routing required shared decision infrastructure across four clinical programs. Epic's clinical decision rules required institutional workflow configuration adopted across 100+ hospital go-lives.

I also run the business around the product — market selection, pricing, revenue impact, portfolio tradeoffs, customer segmentation, investment decisions. At Doximity, Talent Finder reached $5M in revenue with 60% YoY growth. At Transcarent, I led product across four specialty-care programs simultaneously. At Andwise, I raised $240K and built the customer base from zero — and wound the company down in 2024 when the business didn't sustain.

My current work — NextConsensus, Refract, and Ethotechnics — builds the evaluation, provenance, and governance infrastructure that makes enterprise AI trustworthy. NextConsensus detects when medical evidence has shifted enough to change a decision. Refract traces when cited sources silently change. Ethotechnics defines how to deploy AI safely in regulated settings. The Andwise lesson shapes how I approach this work: the product and the business have to be designed together.

Seeing the underlying decision problem

Reframing from 'how do we automate this?' to 'what decision is actually being made?' — and whether the organization's decision model still matches reality.

Bridging technical and institutional realities

Working at the boundary between what models can do and what organizations will adopt — where great technology stalls without enterprise trust.

Turning abstract ideas into operating mechanisms

What gets logged, who approves, when does a human intervene, what evidence changes behavior — product thinking expressed as operational systems.

Thinking in systems rather than features

Redesigning the environment the roadmap operates within — workflows, evidence, routing, provenance, evaluation, escalation, accountability.

Architecting platforms, not features

What looks like a single product is usually an architecture decision — identity infrastructure behind trusted telehealth, shared decision infrastructure across care programs, institutional workflow architecture adopted across 100+ hospitals.

Owning the business around the product

Market selection, pricing, revenue impact, portfolio tradeoffs, customer segmentation, investment decisions. CEOs hire executives who improve businesses, not just products.

DoximityEpicTranscarentCancerCompass / CTCA MarketplaceAndwiseMemorial Sloan Kettering Cancer CenterTechstars
100M+ virtual visits (cumulative since launch) Doximity Dialer — per FY2022 10-K
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 influenced Doximity Talent Finder, 60% YoY growth
6 published open standards Ethotechnics AI deployment standards
4 specialty-care programs managed simultaneously
6 person team built from a half-FTE search function
$5M revenue owned, 60% YoY growth (Talent Finder)
$2M software development execution directed
50+ physician advisory board convened
$240K raised as co-founder and CEO
3 PM and Senior PM direct reports managed and mentored

The mandate I lead

I lead product teams building clinical intelligence, evidence systems, and AI-enabled healthcare workflows — and I own the business around them.

My role is to turn an uncertain technical capability into a product portfolio: define where to compete, set product and evaluation standards, align clinical, engineering, design, and commercial teams, make pricing and investment tradeoffs, and create the operating cadence required to deploy safely at enterprise scale.

Andwise 2022–2024

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

Mandate
Co-Founder and Product Leader. Built the medical advisory board, review routing, escalation clocks, and accountable sign-off workflows that enabled scaling trusted financial guidance to physicians.
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.
Operating model
Convened a medical advisory board of over 50 physicians, designed review routing with escalation clocks, and implemented plain-language summaries with accountable sign-off.
Outcome Scaled to 1,200+ physician users and compressed standard recommendation turnaround from days to hours. Andwise wound down in 2024 — the product worked, but the business didn't sustain. Building the product was necessary but not sufficient.
Why it matters
Encoded fiduciary and compliance review into the product core — the escalation-clock pattern is the same authorization-state architecture that appears in the AI governance work. Andwise also taught me that building the right product is necessary but not sufficient — distribution, market timing, and business model matter just as much. That lesson shapes how I approach current work: the product and the business have to be designed together.

Co-founded and led the company; built and convened a 50+ physician advisory board, raised $240K, and managed the product team through wind-down.

Read case study →
CancerCompass / CTCA Marketplace 2019–2021

Scaling oncology navigation for 30MM annual visitors

Mandate
Director of Digital Products & Strategy. Led relaunch and product strategy for an oncology information, navigation, and patient-engagement platform. Directed $2M in software development execution.
Constraint
An oncology information platform with 30MM annual visitors needed to translate clinical protocols into actionable steps for patients and families navigating cancer care — without requiring a nurse on the phone for every interaction.
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.
Operating model
Directed product strategy and $2M in software development execution. Wrote the Director of Development job description and defined the tech-stack architecture for the platform's rebuild. Built feedback loops with nursing teams to continuously tune triage rules and reduce avoidable escalations.
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
Demonstrates translating clinical complexity into consumer-scale product — 30MM annual visitors navigating cancer care without a nurse on the phone.

Directed $2M in software development execution; defined tech-stack architecture and hired the Director of Development for the platform rebuild.

Read case study →
Doximity 2013–2017

The identity infrastructure behind trusted telehealth

Mandate
Early product lead on Doximity Dialer. Owned identity/verification product direction, HIPAA compliance policy, and the EHR integration strategy that put verified calling inside clinical workflows.
Constraint
Patients ignored calls from unknown numbers, which blocked clinician adoption of telehealth. A clinician could have the best telehealth tool available, but if the patient saw 'Unknown Caller,' they wouldn't pick up — and the call was wasted. The easy solution was a VoIP wrapper. The harder solution — and the one that scaled — was identity infrastructure: verified caller ID, HIPAA-compliant audit trails, and integration into the EHR workflow clinicians already lived in. The organizational challenge was convincing hospital IT and security teams that a third-party calling product was trustworthy enough to sit inside clinical workflows.
Decision
Chose to build identity infrastructure rather than a calling feature. Prioritized verified office caller ID over simple VoIP, authored the HIPAA compliance policy that gave hospital security reviews a documented basis to clear the product, and drove the Epic Haiku integration that put verified calling inside the chart.
Operating model
Led the product design for HIPAA-compliant verified caller-ID and fallback workflows ensuring the clinician's office was the visible, trusted identity on all outbound calls. Authored the HIPAA compliance policy — policies, procedures, and the white paper that gave hospital security reviews a documented basis to clear the product. Partnered with legal and hospital IT to clear EHR integration across multiple systems. Led the Epic Haiku integration putting one-tap verified calling inside the chart the clinician was already in.
Outcome Established the identity layer Dialer scaled on. Doximity has since reported over 100 million virtual visits from the tool since launch, 300K+ active clinicians, and iOS ratings rising from 3.7 to 4.8 stars.
Why it matters
The architecture decision — identity infrastructure, not a calling feature — is what made 100M+ virtual visits possible. Trust is a product decision, not a compliance footnote. At Transcarent, the problem changed from trust to scale: how to make that same trust work across four clinical programs at once.

Led the product from prototype through institutional security reviews; authored the HIPAA compliance policy; partnered with legal and hospital IT to clear EHR integration across multiple systems.

Read case study →

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 merely the model itself. That gap is most of the work. Read the method →

Three mandates I'm prepared to own — where my operating history and current work reinforce each other.

Clinical intelligence products

Products that help clinicians and care teams make better decisions when the evidence is uncertain — decision support, care routing, triage, and workflow AI that preserve human authority.

Abridge · Equip · Get Well · ConcertAI

Evidence and decision systems

Products that detect when the evidence has moved enough to change a decision — evidence intelligence, knowledge platforms, and regulatory foresight for consequential healthcare choices.

H1 · Atropos Health · OpenEvidence · Flatiron Health

AI deployment and trust platforms

Evaluation, monitoring, escalation, and governance systems that make AI dependable in production — turning technically plausible solutions into institutions-trusted products.

Arcadia · Truveta · Tempus AI · Cadence

Adoption
100M+ virtual visits, 300K+ active clinicians
Business ownership
$5M revenue owned, 60% YoY growth, 0 → 1,200+ paying users
Clinical performance
4 specialty-care programs with automated triage
Product reliability
iOS ratings 3.7 → 4.8 stars
Enterprise deployment
100+ hospital go-lives, HIPAA compliance cleared
Portfolio focus
6 published standards, 230+ essays, 1 flagship venture

One flagship product and two supporting mechanisms. NextConsensus tracks when medical evidence shifts. Refract detects when cited sources change. Ethotechnics defines how to deploy AI safely in regulated settings.

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

[email protected]