Clinical Coverage + Telemedicine Operations
50-state physician coverage, clinical review capacity, async care experience, obesity and virtual-care context, and practical help making distributed care work safely.
Clinical strategy for AI-enabled care that has to work in the real world.
Dr. Robak is a 50-state licensed physician-operator helping virtual care, clinical AI, startup, and investment teams build safer, more scalable care models without losing clinical judgment.
Physician credibility meets operator context
Dr. Robak is a 50-state licensed physician, dual board-certified in emergency medicine and obesity medicine, with experience spanning urgent care, senior care, correctional telehealth, and high-volume asynchronous review.
He also builds the systems he advises on. As the founder of a physician-led metabolic practice, he designed the AI workflows that run it: intake, triage, documentation, and escalation. That operator’s view informs how he approaches clinical AI for other teams — grounded in how these systems behave in daily use rather than in a demo.
Four ways I support virtual care, clinical AI, startup, and investment teams.
50-state physician coverage, clinical review capacity, async care experience, obesity and virtual-care context, and practical help making distributed care work safely.
Guidance for teams implementing AI into intake, triage, documentation, clinician review, escalation logic, dashboards, and physician-in-the-loop workflows.
A physician-operator lens on product direction, clinical assumptions, workflow design, care-model risk, and whether real clinicians will trust and use the system.
Clinical and operational diligence for telemedicine, obesity medicine, virtual care, and AI-enabled healthcare companies: credibility, workflow risk, adoption risk, and safety signals.
Next step
Share the context and I can quickly tell you whether it is a fit for coverage, workflow review, startup advisory, or diligence support.
Perspective
Clinical AI“Clinical AI should remove work that does not belong on a physician’s plate so clinicians can focus on judgment, nuance, and patient care.”
Workflow reality“Most clinical AI fails in the workflow, not the demo. Speed only matters if the escalation logic, review burden, and safety guardrails still hold up in real use.”
Start a conversation
If your team needs 50-state clinical coverage, telemedicine operating support, AI implementation guidance, startup advisory, or diligence on a virtual-care model, I’m available for select clinical, advisory, diligence, and operator conversations.