Our Services
Clinical AI Safety, Grounded in Real-World Evidence
Building healthcare AI that performs well in demos is one thing.
Making sure it holds up in real clinical environments is another.
Validara Health helps healthcare AI teams identify how their systems can fail in deployment and address those risks before patients, regulators, or buyers ever see them.
We bring physician-led clinical judgment into AI development, validation, and governance so you can move forward with confidence.
Clinical AI Readiness Assessment
For healthcare AI vendors preparing for pilots, procurement, or regulatory review
This is a structured, evidence-based evaluation of your AI system against known clinical failure patterns.
What this helps you answer:
"What happens when this fails, and how have we addressed that risk?"
What you get:
This is a structured, evidence-based evaluation of your AI system against known clinical failure patterns.
Documented failure cases tied to each risk
Clear acceptance criteria you can use internally or externally
Language and evidence suitable for FDA conversations and hospital review
How it works:
1
You share key details about your product, clinical domain, and deployment context
2
We map your system to relevant failure patterns
3
You receive a clear, defensible assessment you can act on
This assessment gives you something most teams don't have:
An evidence-based answer when safety questions come up.
Consulting & Red Team Evaluation
For teams needing deeper clinical engagement or ongoing expertise
Some questions can't be answered with a checklist alone.
We work directly with product, safety, and leadership teams to stress-test assumptions, design safer pilots, and prepare for real-world use.
Common engagements include:
Safety monitoring framework design
Clinical red-team workshops
Pilot study safety planning
Regulatory and governance support
Pre-deployment safety and workflow analysis
Engagements are scoped based on your needs and can be project-based or ongoing.
Clinical AI Assessment for Assurance & Evaluation Teams
For ML validation companies, safety organizations, and risk assessors
Healthcare AI fails in ways that generic ML evaluation frameworks don’t capture.
We partner with assurance and evaluation teams to bring clinical depth into their work.
How we support you:
Clinical review services for client engagements
Integration of documented failure patterns into existing frameworks
Co-development of healthcare-specific safety assessments
Physician perspective in high-stakes evaluations
If your clients are building for healthcare, clinical expertise isn’t optional.
We help you make it systematic.
Why Validara Health?
Built by a Practicing Physician Who Has Seen These Failures Firsthand
Validara Health is led by Sarah Gebauer, MD, a Stanford-trained anesthesiologist with deep experience in healthcare AI evaluation and governance.
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Before founding Validara, she evaluated AI systems for safety and real-world performance at RAND and has advised over 100 health technology companies.
She continues to practice clinically because staying close to patient care matters. That perspective shapes every assessment, framework, and recommendation we deliver.
We don't approach AI safety from theory.
We approach it from lived clinical reality.