Andrew Napier, MD, FAAEM

Senior product leader for LLM-based healthcare AI in regulated care settings. Co-founded Sayvant and leads clinical AI product work for documentation systems used across 100+ care sites and more than 1.1M charts. Built evaluation-driven, clinician-in-the-loop workflows for physician-written rubrics, chart grounding, hallucination and dangerous-fabrication review, PHI-aware routing, HIPAA/BAA-aware deployment, and post-launch QA. Practicing emergency physician, Stanford MCiM graduate, Army veteran, and zero-to-one operator across clinical AI and an FDA-regulated Class I device used by 400+ EMS agencies in 41 states.

Product competencies: Product strategy and roadmap | LLM/model evaluation | Physician-written rubric design | Clinician-in-the-loop QA | Privacy and safety controls | HIPAA/BAA-aware workflows | Discovery-to-launch execution

• Owned clinical AI strategy, roadmap decisions, requirements, evaluation design, launch decisions, and physician-review workflows for documentation systems used across 100+ care sites and more than 1.1M charts.
• Prioritized highest-impact problems from physician complaints, clinician adoption friction, health-system rollout lessons, and ED workflow constraints.
• Defined requirements by translating customer needs, technical constraints, and regulatory considerations into product decisions: rubric changes, validation plans, QA loops, and release calls.
• Used data and customer feedback from 13 hospital sites, 42 tracked physician complaints, and 1,089 optimization iterations to reach zero regressions on resolved complaints.
• Built privacy and safety controls for production clinical AI: HIPAA/BAA-aware deployment, PHI-aware routing, chart grounding, hallucination review, dangerous-fabrication review, billing completeness, and legal defensibility checks.
• Shipped ScribeBench and Sayvant SQS: physician-written rubric benchmarks with 282 binary checks and 166 deterministic repair rules; controlled ablation improved pass rate by 11.7 percentage points and eliminated 6/6 fabrication-class failures.
• Partnered across engineering, research, design, legal, regulatory, clinical, and GTM work to move high-stakes workflows from discovery through launch and post-launch QA.
• Drove the ED chest pain decision-support roadmap around paired ambient encounter signal and physician decision traces, with AIMI presentation, AMIA 2026 abstract #15227, and manuscript in preparation.
• Scaled IntuBlade from an ER problem into patented hardware, an FDA-regulated Class I product used by 400+ EMS agencies across 41 states, $250K+ recorded sales revenue, field adoption, and live operating systems across legal, shipping, inventory, pilots, AR, and GTM.

Stanford University School of Medicine: Master of Science, Clinical Informatics Management (Jun 2025 - Jun 2026, Stanford, CA) | University of South Florida College of Medicine: Doctor of Medicine (Aug 2013 - May 2017, Tampa, FL) | Eastern Kentucky University: Bachelor of Science, Biomedical Science (May 2009 - Dec 2012, Richmond, KY)

• Rice Business School Veterans Business Battle, First Place, IntuBlade, 1st of 15 finalist teams, $15,000 Prize (2026)
• Tillman Military Scholar, Pat Tillman Foundation (2012)
• U.S. Army: Purple Heart, Combat Medical Badge, Combat Action Badge, Valorous Unit Award
• VetsInTech Pitch Competition, First Place, $25,000 Prize (2024)
• UCSF Rosenman Institute Health Innovation Fellow
• EMS World Innovation Award, Finalist (2024 and 2020)
• Warrior Rising Pitch Competition, First Place, $20,000 Prize (2023)
• InnovatorMD startup competition, First Place (2022)