July 8, 2025
Whitepaper: How Health Systems Can Assess the Safety of Clinical AI Tools
As clinical AI tools enter hospitals and decision support systems, few come with clear safety guardrails. Without rigorous testing, they risk spreading misinformation or introducing avoidable clinical harm.
A recent large-scale review evaluated more than 400 AI-generated clinical responses from one tool across five dimensions – including helpfulness, correctness and potential harm – using a reproducible, clinician-led framework.
Findings show that the vast majority of responses were rated accurate by independent reviewers – licensed physicians and pharmacists – with only a small portion presenting potential clinical risk.
Inside the whitepaper:
- How to measure AI output using reproducible evaluation methods,
- Lessons from a real-world model that helps mitigate risks of hallucinations and inaccuracy, and
- Best practices for assessing AI tools used in clinical decision support.
Click Here to download the whitepaper