Healthcare product/operator practice for regulated workflows and review-window decisions.

I am a healthcare product/operator building measurement and decision infrastructure for contested healthcare claims.

I translate policy, evidence quality, and clinical risk constraints into systems teams can run during real review windows.

I design regulated operator systems where humans can review, override, and defend decisions with measurable evidence.

Research from Ethotechnics and The Crumple Zone informs this work, but the primary build focus is NextConsensus.

Healthcare trust stack: Epic → Doximity → Transcarent → Andwise → NextConsensus
Current company: NextConsensus, a measurement and decision-intelligence company for contested healthcare claims

At a glance: I turn disputed clinical claims into executable workflows: evidence intake, review clocks, decision logs, and correction paths.

Start a conversation

Human oversight Clinician-in-the-loop review

Evidence

Selected outcomes and delivery evidence

Selected outcome Doximity Dialer: 100M+ clinician-to-patient calls (2018–2023) with HIPAA-conscious trust design See how it worked in practice →

Selected evidence and operating credentials
Scale in regulated environments	100M+ clinician-to-patient calls completed via Doximity Dialer (2018–2023), with production trust controls teams could inspect and improve
Executive and founder credentials	Founder & CEO (Andwise) · Director-level product leadership (Doximity, Transcarent) · operator governance under regulated constraints
Ecosystem authority	Built Andwise with a 60-member medical advisory board and mentor founders via the Techstars Northwestern Medicine Healthcare Accelerator

Epic

Mapped policy constraints into actionable decision support without overwhelming clinical teams
View experience →
Doximity Dialer

HIPAA-conscious caller ID workflow that reduced routing friction
View case study →
Transcarent

Care navigation systems with reliable handoffs and clear intervention patterns
View case study →

Current company

Current company: NextConsensus

A direct snapshot of what is shipping now, who it serves, and what remains under validation.

What it does: Builds measurement and decision-intelligence infrastructure for contested healthcare claims and review-window decisions.

Who it is for: Healthcare operators, clinical leadership, and risk/compliance teams that need auditable decisions under regulatory constraints.

What proof exists now

Operator pattern library informed by Epic, Doximity, Transcarent, and Andwise execution contexts
Defined workflow primitives: evidence intake, ownership mapping, review clocks, escalation, and override logging

What is still under validation

Category-level outcome lift across diverse claim types and payer/provider contexts
Longitudinal performance benchmarks as deployment footprint expands

Active ventures & R&D

Building what comes next, not only reflecting on what shipped

Current projects focused on decision infrastructure, resilience, and accountable clinical support under uncertainty.

Active venture

NextConsensus

A measurement and decision-intelligence company for contested healthcare claims, built for regulated operators making review-window decisions.

Measurement-backed decision support for contested claims and appeals
Decision trails that keep rationale visible for clinicians, operators, and compliance stakeholders

Open NextConsensus →

Concept & technical scoping

Whether

A translation engine for converting macroeconomic indicators into practical operational guardrails so teams can adapt risk posture before disruption compounds.

Signal translation from macro conditions to team-level constraints
Real-time guardrail updates for systemic resilience

Open Whether →

Systems research & field notes

Frameworks for behavior that stays understandable and fixable

From Ethotechnics to production policy design, this work shows how teams make system behavior visible, diagnosable, and correctable under real-world pressure.

Systems framework