Services Clinical AI Evaluation
Understand how your AI really performs clinically.
We combine relevant clinical experts with PhD-led data science to evaluate model outputs, identify inaccuracies and investigate potential safety concerns.
Every evaluation is designed around your product, its intended use and the questions your team needs to answer.
AI OUTPUT · CLINICAL REVIEWILLUSTRATIVE EXAMPLE
Start amoxicillin 500 mg three times daily for 5 days.
No allergy check required.
Review if symptoms persist.
Dose and duration: accurate. Appropriate for the stated scenario.
Allergy status: potential safety concern. Penicillin allergy must be checked before prescribing.
Safety-netting: incomplete. No red-flag symptoms or escalation advice given.
YOUR QUESTIONS, OUR DELIVERABLES
What we can deliver.
QUESTIONS WE HELP ANSWER
- Are our AI outputs clinically accurate?
- What types of mistakes does our model make?
- Which errors could have meaningful clinical consequences?
- Does performance vary across different clinical scenarios?
- How does one model or version compare with another?
- What should we investigate or improve before the next development milestone?
Clinical accuracy testing
Expert assessment of AI-generated outputs for correctness, completeness and clinical appropriateness.
Clinical safety evaluation
Review of potentially unsafe recommendations, clinically significant omissions and other relevant errors.
Clinical LLM evaluation
Expert evaluation of medical language models, clinical assistants, healthcare AI agents and generated clinical content.
Medical red-teaming
Clinically informed testing to uncover weaknesses and potentially problematic model behaviours.
Model performance assessment
Structured evaluation against agreed clinical criteria and suitable reference information.
Expert feedback and reporting
Clear findings, identified limitations and recommendations that support product decisions.
WHAT YOU RECEIVE · DEPENDING ON SCOPE
- Clinical evaluation results
- Expert-reviewed model outputs
- Clinical error findings
- Safety-related observations
- Comparative model assessments
- Structured reports
- Recommended areas for further investigation
TYPICAL APPLICATIONS
Clinical language models
AI scribes
Clinical decision support
Healthcare AI agents
Diagnostic AI
Medical content generation
Clinical summarisation and documentation
Need to understand how your AI performs?
Tell us about your product and what you need to find out.
Discuss an Evaluation →Our evaluations provide clinical insight to support product development. They do not certify clinical safety, confer regulatory approval or replace formal validation requirements.
Let's solve your next clinical AI challenge.
Tell us what you're developing and we'll reply the same day.