15+ years building every layer of healthcare: the clinical stack, AI in regulated practice, and the payer economics underneath.
An EHR that fits the practice, records that arrive before the visit, prescribing that works, billing that gets paid, AI deployed where care actually happens — and the plan and payer economics that make it hold.
EHR selection or a custom build prototyped with AI in days (e.g. Medplum, Elation, custom), clinical operations and credentialing, records and interoperability (Metriport, Zus), prescribing, prior auth and labs (Photon, DoseSpot, Surescripts, Junction, Quest) — the workflow built around the clinic, not the vendor.
Record review, ambient scribing, summaries, inbox and call deflection — before, during, and after the visit. Deployed in regulated settings with evals, guardrails, and PHI segmentation: separated, compliant, auditable, and a human gate on every step.
Billing, claims, RCM and TPA operations, value-based-care readiness, and plan & benefits design — self-funded and level-funded, single and multi-payer, contracted and shipped, with unit economics that hold.
Onboarding and activation, async and sync care models, retention and engagement.
Medplum, Elation, or custom; credentialing, provider data & directories; workflows built around the clinic.
Record review, scribing, summaries, inbox and call deflection — Anthropic, AWS, or third party (Nabla, Zoom).
Retrieval and aggregation via Metriport or Zus, normalized, inside the clinical workflow.
E-prescribing via Photon, DoseSpot, Surescripts; pharmacy routing; labs via Junction, Quest.
Custom and insurance billing, RCM, claims adjudication in house and third party.
GLP-1 and weight management, coaching, dietitian services, with unit economics that hold.
Engagement at payer scale, measurement, contracting readiness.
Self-funded and level-funded, single and multi-payer, tiered networks, plan design.
See the healthcare one-pager →
AI running in clinical care, a custom EMR prototyped in days, insurance and TPA economics, and virtual care at national scale.
As SVP Product & Technology (CPTO) at Form Health (obesity and cardiometabolic care): put AI directly into the clinical workflow — ~50% less clinical visit time, patient access 10× faster, ~50% of inbound calls AI-handled — while scaling ARR and patients 15× and doubling gross margin above benchmark.
Clinical programs were running on slow homegrown software. I prototyped a path forward in days with AI and short iterations with the clinical and operations team, built on the Medplum headless open-source platform.
As VP Product & Engineering at Sana Benefits (self-funded insurance for SMBs): grew 50%+ while doubling gross margin above benchmark and cutting R&D ~40%; managed benefits and enrollment for 2,000+ businesses, 30,000+ members, and launched Sana Care, a new virtual primary-care line.
At a Fortune-10 health plan: defined the virtual-care strategy, launched UHC’s Virtual-First Health Plan (NavigateNOW), and shipped an end-to-end Virtual Care Hub to ~40M members across Optum Care and partners, on a member experience at ~4M monthly active users.
Early product hire at a benefits-administration and TPA platform: 0→USD 40M+ ARR on USD 1B+/yr in healthcare spend, with a model independently linked to 45% lower employer total cost (JAMA Network Open).
A concept for how it could work across every system, workflow, and role: connecting your clinical systems and the evidence you trust, with the clinician always in control, live in minutes.
