Knowledge Hub
AI Governance Resources
for Healthcare
Insights and reference material on the governance of artificial intelligence in healthcare.
Artificial intelligence is rapidly becoming integrated into clinical practice. Governance frameworks are essential to ensure these systems are deployed responsibly and in accordance with emerging regulatory requirements such as the European Union Artificial Intelligence Act.
EU AI Act and Healthcare
The European Union Artificial Intelligence Act introduces a risk-based regulatory framework for AI systems. Healthcare applications such as diagnostic support systems and clinical decision tools may fall under high-risk classification, requiring governance structures and oversight mechanisms.
Risk classification framework of the European Union Artificial Intelligence Act. Healthcare AI systems used for diagnostics or clinical decision support may fall under high-risk classification requiring governance oversight.
Clinical AI Oversight
Hospitals deploying artificial intelligence technologies must establish governance structures that ensure transparency, accountability and patient safety. Oversight frameworks typically involve multidisciplinary committees, documentation procedures and risk management processes.
Governance Frameworks
AI governance in healthcare includes the policies, processes and organisational structures required to oversee the lifecycle of AI systems deployed in clinical environments.
Policy and Regulatory Developments
Healthcare organisations must monitor regulatory developments related to artificial intelligence. Policy frameworks continue to evolve across Europe and internationally as governments address the implications of AI in healthcare.
Further Reading
This page will continue to expand as additional resources and insights on AI governance in healthcare are published.
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