Most Hospitals Cannot Demonstrate Oversight of Their Clinical AI Systems

Artificial intelligence is rapidly entering healthcare.

Hospitals across Europe are deploying AI systems in diagnostics, imaging analysis, triage, clinical decision support, and operational workflows.

Many of these systems are introduced through innovation projects, vendor partnerships, or departmental initiatives.

However, an important governance question is emerging:

Can healthcare organisations actually demonstrate structured oversight of the AI systems currently operating inside the institution?

In many hospitals, AI adoption is occurring across multiple departments simultaneously.

Radiology, pathology, emergency medicine, operations, and digital health teams may all introduce AI tools independently.

As a result, healthcare organisations may lack:

• —a central inventory of AI systems
• —consistent risk classification
• —formal governance ownership
• —monitoring and documentation structures

Without visibility, governance becomes difficult.

The European Union Artificial Intelligence Act introduces governance obligations for organisations deploying high-risk AI systems.

Many clinical AI systems are likely to fall under high-risk classification, particularly when they influence diagnosis, treatment decisions, or patient management.

Hospitals will increasingly need to demonstrate:

• —awareness of deployed AI systems
• —governance oversight structures
• —documentation and monitoring processes
• —accountability for operational AI systems

This creates a new operational requirement for healthcare organisations navigating EU AI Act compliance.

Before hospitals can govern AI systems, they must first know which systems exist across the organisation.

A Clinical AI Registry can serve as a foundational governance layer by creating a structured inventory of AI technologies used in clinical environments.

Such a registry may include:

• —AI system name
• —department using the system
• —clinical purpose
• —risk classification
• —governance status
• —monitoring status

This transforms AI governance in healthcare from an abstract policy discussion into an operational capability.

Artificial intelligence is evolving from isolated innovation projects into operational infrastructure within healthcare systems.

As adoption increases, hospitals may require governance capabilities similar to those already used for cybersecurity, compliance, and enterprise risk management.

The Clinical AI Registry represents one possible starting point for establishing institutional oversight of clinical AI systems under the EU AI Act.

About the Author

Dr Rebindrenath R. Goerdin works on governance frameworks for artificial intelligence in healthcare and is founder of Lifecycle Governance™ and initiator of Clinical AI Registry™.

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The Clinical AI Registry™ provides a structured framework for hospitals establishing governance oversight of AI systems in clinical environments.

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