AI in Healthcare: How Do We Make It Safer for Patients?

Facilitator: Clive Flashman, Chief Digital Officer, Patient Safety Learning

This is a CLOSED roundtable session and will follow Chatham House Rule. The session is by invite-only.

Session Overview:

• Understanding the biggest patient safety risks with the increasing use of AI in healthcare.
• Clarity on AI’s role in patient safety – what it can and cannot do in clinical and operational contexts.
• Identification of priority patient safety use cases for AI (e.g. adverse event detection, diagnostic accuracy, medication safety).
• Understanding the ethical and legal boundaries for AI in healthcare decision-making.
• Recognition of risks and unintended consequences (bias, over-reliance, loss of human oversight).
• Best practice for integrating AI into safety-critical workflows without disrupting care quality.
• Data governance essentials – safe data sharing, anonymisation, and public trust.
• Evaluation and assurance frameworks to prove safety, accuracy, and reliability of AI tools.
• Cross-sector collaboration models between commissioners, providers, academia, and industry.
• Skills and workforce readiness to work with AI-enabled tools in healthcare.
• Next steps for policy, funding, and research to accelerate safe AI adoption.