CV

The formal record is here.

Roles, training, publications, patents, and prior service are below. If you want the document version, use the PDF.

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

  • Senior product leader for LLM-based healthcare AI across strategy, roadmap, requirements, launch decisions, adoption, and post-launch quality in production care settings.
  • Co-founded Sayvant and leads clinical AI product work for ambient documentation systems used across 100+ care sites and more than 1.1M charts.
  • Turns physician complaints, clinician adoption friction, health-system rollout lessons, and ED workflow constraints into highest-impact product priorities.
  • Stanford MCiM graduate with active clinical AI work in model evaluation, physician-grounded labels, validation planning, and acute-care implementation.
  • Built privacy and safety workflows for clinical AI, including HIPAA/BAA-aware deployment, PHI-aware routing, chart grounding, hallucination review, and dangerous-fabrication review.
  • Product experience spans healthcare AI and regulated medical devices: Sayvant production AI, IntuBlade FDA-regulated Class I hardware, clinical education, adoption, and field rollout.
  • First author on a medRxiv preprint on closed-loop QA for production clinical AI documentation across 13 hospital sites, 42 physician complaints, and 1,089 optimization iterations.
  • Presented ED chest pain clinical AI work at Stanford AIMI / Health AI Week 2026; AMIA 2026 podium abstract accepted, abstract #15227.
  • Built ScribeBench, a public clinical documentation fidelity benchmark for narrative quality, source fidelity, leak detection, and dangerous fabrication review.
  • Built an FDA-regulated Class I single-use video laryngoscope used by 400+ EMS agencies across 41 states, with 2,884 cumulative devices in field.
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Selected Product Management Contributions

  • 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.

Current Positions

Current work sits across clinical AI, device development, and physician-facing systems.

Clinical AI Product Lead (Co-Founder)

Sayvant

Oct 2023 - Present · Emeryville, CA

Owns clinical AI product strategy, requirements, LLM/model evaluation, physician-review workflows, and rubric development for documentation systems used across 100+ care sites and more than 1.1M charts. Built HIPAA/BAA-aware deployment support, PHI-aware routing, chart grounding, hallucination and dangerous-fabrication review, billing completeness, and model-output triage. First author on a production QA preprint across 13 hospital sites: 42 tracked complaints, zero regressions across 1,089 iterations, 282 binary checks, 166 deterministic repair rules, and 6/6 fabrication-class failures eliminated in ablation.

Founder & Product Lead

IntuBlade

Oct 2018 - Present · San Ramon, CA

Leads product strategy for a $95 single-use USB-C video laryngoscope platform while transitioning CEO responsibilities to incoming leadership. Owned discovery, requirements, patented design, FDA-regulated Class I execution, production hardware, pricing, commercial launch, clinical education, and field adoption across 400+ EMS agencies in 41 states, with $250K+ recorded sales revenue and 2,884 cumulative devices in field. Built operator systems for legal, shipping, inventory, pilots, AR, GTM, pediatric and bronchoscope roadmap expansion, and human-in-the-loop procedural guidance using connected video, telemetry, and trainer-confirmed safety fields.

Emergency Medicine Physician

Kaiser Permanente

Jan 2023 - Present · East Bay, CA

Practices emergency medicine in an integrated health system, keeping AI and airway product decisions tied to department constraints, clinician trust, and real patient care.

Education

Stanford University School of Medicine

Stanford, CA

Jun 2025 - Jun 2026

Master of Science, Clinical Informatics Management

University of South Florida College of Medicine

Tampa, FL

Aug 2013 - May 2017

Doctor of Medicine

Eastern Kentucky University

Richmond, KY

May 2009 - Dec 2012

Bachelor of Science, Biomedical Science

Selected Clinical AI Research & Presentations

Current work is centered on clinical AI evaluation, physician-grounded labels, and decision support that can survive real workflow.

Closed-Loop Quality Assurance for Production Clinical AI Documentation

Posted May 29, 2026

medRxiv preprint

First-author preprint with Justin Wiley and Mark Heslin. Closed-loop QA used physician complaints from production AI documentation across 13 hospital sites to drive 1,089 optimization iterations with zero regressions on resolved complaints. Evidence base: 42 tracked complaints, 282 binary checks, 166 deterministic repair rules, and 6/6 fabrication-class failures eliminated in ablation. DOI: 10.64898/2026.05.27.26353977v1.

Training Clinical Decision Support from Ambient Conversation

AIMI poster Jun 3, 2026; AMIA abstract #15227 accepted

Stanford AIMI / AMIA 2026 / manuscript in preparation

Stanford MCiM capstone work with a public control repo, AIMI poster, and AMIA 2026 podium abstract #15227. Pairs ambient patient signal with physician-authored decision traces so the model is not trained only on downstream chart text. Manuscript and validation plan in preparation with Ashley Griffin and Mark Musen.

Health-System Implementation of AI in Acute Care Delivery

Presented May 5, 2026

HITLAB Spring Summit, Sayvant session

Sayvant session on acute-care AI rollouts, workflow ownership, clinician review, rollout friction, feedback loops, and product lessons from health-system deployment. Final title: Planning for the Future: Lessons Learned Partnering with Health Systems to Implement AI in Acute Care Delivery.

ScribeBench and Sayvant SQS Framework

Released Jun 2026

Public benchmark and framework artifacts

Public clinical documentation benchmark and scoring framework for narrative quality, source fidelity, leak detection, dangerous fabrication, and rubric-based review of ambient scribe output.

Scholarship & IP

Patents

  • US 11,103,130 and US 11,627,873: Disposable Video Laryngoscope with Fluid Spray System
  • US 12,465,206: Laryngoscope and Methods of Use
  • US 12,653,393: Disposable Video Laryngoscope with Fluid Spray System, issued Jun 16, 2026
  • US 63/548,015: Individualized Physician Clinical Documentation Tools
  • US 63/619,785: AI-Enhanced Depth Perception and Anatomical Highlighting System for Video-Assisted Medical Procedures

Preprints, Publications & Books

  • Napier A., Wiley J., Heslin M. Closed-Loop Quality Assurance for Production Clinical AI Documentation. medRxiv preprint. Posted May 29, 2026. DOI: 10.64898/2026.05.27.26353977v1.
  • Napier A., Zitek T. Decreased time to intubation by experienced users with a new lens-clearing video laryngoscope in a simulated setting. American Journal of Emergency Medicine. 2021. PMID: 33632548.
  • Additional clinical publications and abstracts available on request: Cureus case report, StatPearls procedural chapters, emergency ultrasound pocketbook, and ACEP gestational D-dimer abstract.

Research in Progress

Manuscript and validation work that is still in motion. Completed, accepted, and presented work is listed above.

  • Production clinical AI documentation QA: medRxiv preprint posted May 29, 2026, with reproducibility materials and peer-review package in preparation.
  • ED chest pain decision support: Stanford AIMI poster presented Jun 3, 2026 and AMIA 2026 abstract #15227 accepted, with manuscript and validation plan in preparation.
  • ScribeBench / SQS / EM benchmark: public benchmark and scoring framework for clinical documentation quality, source fidelity, leak detection, and dangerous fabrication review.
  • Diagnosis-to-ICD-10 code selection: private research/software with Geanderson Santos using California HCAI code-frequency data, synthetic EM/HM examples, frequency-aware retrieval, constrained LLM selection, and error analysis.
  • Human-in-the-loop airway procedural guidance: connected video laryngoscopy training protocol with telemetry, generated reports, and trainer-confirmed safety fields.
  • Pediatric video laryngoscopy cost-effectiveness analysis: manuscript and budget-impact appendix in progress.

Clinical and Military Experience

The operating work is grounded in emergency medicine, department leadership, and prior military service.

Vice Chair, Assistant Medical Director

Emanuel Medical Center

Dec 2021 - Sep 2023 · Turlock, CA

Led quality, throughput, documentation, patient experience, and sepsis improvement work for a 70,000-visit emergency department.

Emergency Medicine Physician

Regional Medical Center

Sep 2020 - Dec 2021 · San Jose, CA

Practiced emergency medicine at a Level 2 Trauma Center with annual volume exceeding 100,000 visits.

Emergency Medicine Resident Physician

Kendall Regional Medical Center

Jul 2017 - Jul 2020 · Miami, FL

Completed emergency medicine residency at a Level 1 adult and pediatric trauma center.

Sergeant (E-5), Combat Medic Specialist

United States Army National Guard

Jun 2006 - Jun 2012 · Ashland, KY / Afghanistan

Led battalion-level medical operations, supervised medics, and provided combat casualty care alongside a forward surgical team in Afghanistan. Treated more than 300 documented casualties and received the Purple Heart, Combat Medical Badge, and Combat Action Badge.

Presentations

  • Emergency Chest Pain Clinical AI Work. AMIA 2026 podium abstract accepted, abstract #15227, Fall 2026.
  • IntuBlade pitch presentation. Stanford Emergence Annual Impact Summit, Stanford, CA, Jun 5, 2026.
  • Training Clinical Decision Support from Ambient Conversation: Separating Patient Signal from Documentation Bias in Emergency Chest Pain. Stanford AIMI Symposium / Health AI Week, poster presentation, Stanford, CA, Jun 3, 2026.
  • Planning for the Future: Lessons Learned Partnering with Health Systems to Implement AI in Acute Care Delivery. HITLAB Spring Summit, Sayvant session, May 5, 2026.
  • The HIT Will Come. Guest lecture, Eastern Kentucky University Emergency Medical Care Program, Richmond, KY, Apr 2026.
  • From Napkin Sketch to Reality: Your Path to the Creation of a Medical Device. Entrepreneurship and Networking for Doctors Conference, SoMeDocs, Jan 2023.

Licensure & Certification

  • Board Certification, Emergency Medicine, current through 2027
  • Fellow, American Academy of Emergency Medicine (FAAEM), 2024
  • California Medical License, active 2020 - 2028
  • Florida Medical License, 2019 - 2021

Awards & Recognition

  • 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)

Contact

Email: andrewnapiermd@gmail.com
Website: napiermd.me
LinkedIn: linkedin.com/in/napiermd
ORCID: 0000-0001-9128-4755