Free report
What 136 AI incidents reveal about AI risk in health systems
Practical lessons from publicly reported AI incidents to help you support safer AI use for your company, prepare your teams, and stay informed.
The Trustible Healthcare AI Incident Report
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Incidents sourced from the AI Incident Database·Trustible is a CHAI partner
What you’ll take away
Safer AI for your patients
Safeguards to consider before similar tools reach your patients.
Real cases for training
Documented examples for clinicians, staff, and leadership.
A current view of AI in healthcare
Incidents reported through October 2026.
Covers clinical care, patients and the public, operations, research and education, and back-office functions.
FAQs
Who is this report for?
Anyone helping their health system adopt AI, including clinical, IT and security, compliance and legal, operations, and HR leaders.
How can I use it with my teams?
As a starting point for AI training, vendor conversations, and reviews before a new tool goes live. Each category explains what happened, the risks involved, and suggested mitigations.
What types of AI does it cover?
Early-warning alerts, risk scores, clinical decision support, surgical devices, ambient scribes, utilization review, patient-facing chatbots, contact-center AI, hiring tools, meeting notetakers, and AI agents.
Why include incidents from outside healthcare?
Health systems run the same hiring, finance, IT, and contact-center operations as any large employer, often with the same AI products. Those 47 incidents happened elsewhere, but the risks carry over directly.
Where do the incidents come from?
The AI Incident Database, an independent public registry of real-world AI incidents. Trustible started with its October 2026 export of 1,713 incidents and narrowed them to the 136 most relevant to health systems, using keyword matching, taxonomy labels, and manual review.
Are the mitigations recommendations for my organization?
They’re suggested starting points. Every health system should adapt them to its own systems, patients, and risk tolerance.
Is this a complete picture of AI risk?
No. The database reflects what has been publicly reported, so it leans toward high-profile cases, and many entries describe allegations rather than proven findings. Treat it as a starting point.
How do I stay current as new incidents are reported?
New incidents are added to the AI Incident Database regularly. Trustible syncs those incidents into its platform and links them to the AI use cases its customers manage.
About Trustible
Trustible brings clarity and structure to how health organizations adopt AI
From the first intake review through ongoing monitoring.
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Leads the AI Incident Database’s
inaugural sponsor cohort
CHAI partner, integrating its AI Governance Framework in the platform