Physician Medical Advisor for Health-Tech and Clinical AI Startups

Clinical strategy, product validation, and regulatory risk assessment for digital health founders.

Health-tech products and clinical AI algorithms must navigate complex pathways before reaching market viability. A startup's credibility is determined by its clinical evidence, its medical safety protocols, and its exposure to billing and compliance audits under federal oversight.

Dr Sonny Saggar MD provides medical advisory board support and structured clinical validation reviews for early-stage digital health systems and founders.

The credential: Oxford and Barts. 25 years emergency medicine. Published scholar with twelve papers on healthcare enforcement, administrative law post-Loper Bright, digital health standards, and open medical coding systems. Author of The End of English as the Sole Language of Global Coordination, detailing standard dataset frameworks.

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Engagement Areas

Medical Advisory Board Membership

Long-term strategic clinical direction, credibility oversight, and ongoing validation reviews for executive product roadmap phases.

Regulatory & Compliance Risk Assessment

Analyzing product interfaces, documentation flows, and EMR integration plans to eliminate coding liability and compliance exposures.

Clinical Evidence Review for Fundraising

Auditing validation study datasets, internal accuracy metrics, and clinical utility proof structures to prepare for venture rounds.

Fee Structure

Scholarly Authority

Direct academic back-references to peer-distributed SSRN research series relevant to startup data standards and clinical coding:

No One Can Own the Language of Medicine: Open, AI-native Medical Coding Standards
SSRN Abstract 6845420

Advocates for open, AI-accessible diagnostic terminology formats to reduce structural billing errors in automated healthcare databases.

Automaticity: When Legal Systems Fire Without Thinking
SSRN Abstract 6810167

Examines the risks of automated legal and administrative actions in digital systems, establishing guidelines for human-in-the-loop audit architectures.