Practice
Healthcare execution: review-window decisions, escalation ownership, and auditable operator workflows.
About
About Kanav Jain
Healthcare product/operator focused on measurement-backed decision support for regulated workflows and contested claims.
Map your decision bottlenecks
Email with your goals and timeline for a fastest response.
Perspective
Neurodiversity-informed design that protects operators and end users alike.
Leadership
Current company is NextConsensus; broader governance and writing work remains secondary context.
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About Kanav
About
Credibility overview
I'm a healthcare product/operator building measurement and decision infrastructure for contested healthcare claims, with governance and systems research as a secondary layer.
Current company: NextConsensus
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What it does
Builds measurement and decision-intelligence systems for contested healthcare claims and review-window operator decisions.
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Who it is for
Healthcare teams operating under regulatory, clinical, and audit constraints where decisions must be transparent and defensible.
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What proof exists now
- Execution patterns grounded in prior healthcare operatorship across Epic, Doximity, Transcarent, and Andwise
- Defined operating primitives for evidence intake, review clocks, escalation, and override traceability
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What is still under validation
- Outcome lift and throughput effects across broader claim categories
- Durability of decision-quality gains across varied payer-provider contexts
I’ve worked inside systems that spoke fluently about safety, ethics, and care—while relying on workflows that failed under pressure. Over time, it became clear that values language without operational mechanisms doesn’t prevent damage; it just hides it.
I don’t trust principles unless they are backed by constraints that shape behavior, expose state, and make deferral expensive. Bindingness is when a system actually changes what happens—for example, an escalation clock that auto-routes after 48 hours instead of letting a request sit “in review.” My practice exists to close that gap.
My experience as a late-diagnosed autistic operator is the original fieldwork behind this methodology: I design systems for non-standard users first, then verify that escalation paths, defaults, and documentation stay usable when teams are tired, overloaded, or outside the expected profile.
Selected organizations and domains
- Epic
- Doximity
- Transcarent
- Andwise
- NextConsensus
- Clinical operations
- Measurement-backed decisions
- Patient safety & accessibility
Selected proof points
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Epic
Implemented EHR workflows with clinician, IT, and compliance alignment across high-stakes go-live periods.
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Doximity
Led Doximity Dialer, now supporting 100M+ patient–clinician connections.
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Transcarent
Led care-experience product strategy across surgery, maternity, fertility, and MSK workflows with measurable handoff quality.
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Andwise
Co-founded the company and built physician financial-wellness products with a 60-member medical advisory board.
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NextConsensus
Current company building measurement and decision-intelligence infrastructure for contested healthcare claims.
Timeline and context
Use the milestones to navigate the full background once.
The paragraphs below are the primary chronology; the slider helps you jump to each chapter quickly.
Engineer lens
Outcome: brittle escalation logic becomes a ship-ready specification with owners, SLAs, and rollback rules.
Case example: translated incident findings into release criteria that reduced repeat triage errors in the next sprint cycle.
Founder lens
Outcome: leadership alignment shifts from abstract values to explicit operating decisions and constraints.
Case example: installed weekly decision records that made cross-functional choices visible and shortened approvals from days to same-day sign-off.
Research lens
Outcome: policy and ethics claims are converted into controls teams can inspect, test, and correct mid-operation.
Case example: reframed a governance principle into an escalation clock and override protocol used in production reviews.
I'm a healthcare product/operator building measurement and decision infrastructure for contested healthcare claims, with governance and systems research as a secondary layer.
I chose to leave med school and joined the early team at Doximity, where I led Doximity Dialer, now enabling 100M+ patient–clinician connections.
My current company is NextConsensus: a measurement and decision-intelligence company for contested healthcare claims, focused on review-window decisions that must stay auditable, clinically legible, and operationally correctable.
I later co-founded Andwise with Dr. Varun Verma and served as CEO, building physician financial-wellness products with a 60-member medical advisory board. That work taught me how hard it is to make patient safety, privacy, and reliability real in production.
I received my autism diagnosis in 2024. Neurodiversity is part of my method: I design clear defaults, explicit escalation paths, and systems that don't require charm or stamina to be treated fairly.
Accessibility is part of safety: screen reader checks, reduced motion, and plain-language summaries are part of the operating spec, not polish added later.
Outside of work, I married Aditi Mukund in 2025 (ad1ti.com), and we spend most evenings being supervised by our cats, Selene and Apollo.
Milestones
Key moments that map the narrative to specific chapters.
Guiding principles
Designing for a less coercive future
I translate research on neurodiversity, patient safety, and market dynamics into actionable product moves.
Care as default
Build flows that reduce cognitive load, respect consent, and widen participation instead of gatekeeping it.
Evidence over lore
Pair qualitative fieldwork with quantitative telemetry to replace harmful heuristics with measurable care outcomes.
Trustworthy automation
Keep humans in the loop with explainable AI, handoffs that feel human, and quality guardrails for sensitive decisions.
Research
Selected investigations
Research highlights
Patterns from field observation, policy analysis, and product testing to keep systems correctable during live operations.
Community leadership
Mutual aid & mentorship
Community leadership
Spaces where I practice shared stewardship and build infrastructure for neighbors and peers.
Education
Foundations
Education
Grounding in biomedical engineering and systems-minded business leadership.
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B.S. Biomedical Engineering (with honors) · Georgia Institute of Technology
Human-centered clinical systems, pairing biomechanics and design research to make care safer and more accessible.
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MBA · NYU Stern School of Business
Finance and technology focus, paired with product leadership in regulated markets and accountable governance.
Connect
Connect
Find me on the platforms where I'm most active.