Consulting & Advisory
Bryan Tegomoh, MD, MPH advises clinical, health system, and health technology teams working on evidence-based AI adoption. Engagements are evidence-centered and non-promotional, with emphasis on clinical value, workflow fit, governance, safety, and accountability.
The linked chapters below provide the public evidence base for the advisory areas where focused review is most appropriate.
Advisory Scope
For clinical and health system audiences, advisory work is most appropriate when a decision requires independent review of evidence, workflow, safety, and accountability:
- Clinical AI evaluation for product review, pilot selection, or vendor claims that need evidence-based interpretation
- Workflow integration for AI tools that must fit clinician practice, EHR processes, and implementation constraints
- Clinical AI safety and risk management for governance, monitoring, failure modes, and post-deployment oversight
- Liability and regulatory compliance for documentation-sensitive deployment, FDA status interpretation, and accountability planning
- Medical AI education for briefings, workshops, or curriculum design for physicians and implementation teams
Advisory work is independent. It does not imply endorsement of a product, organization, or public claim.
For advisory, speaking, or workshop inquiries, email bryan.tegomoh@gmail.com with the organization, decision context, and any relevant materials.